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  <channel>
    <title>MaplePrimes - Newest Questions and Posts</title>
    <link>http://www.mapleprimes.com</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Mon, 18 May 2026 13:42:12 GMT</lastBuildDate>
    <pubDate>Mon, 18 May 2026 13:42:12 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest questions and posts added to MaplePrimes</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - Newest Questions and Posts</title>
      <link>http://www.mapleprimes.com</link>
    </image>
    <item>
      <title>Has There Been a Change in the ToolBoxes?</title>
      <link>http://www.mapleprimes.com/questions/243600-Has-There-Been-A-Change-In-The-ToolBoxes?ref=Feed:MaplePrimes:New%20Questions%20&amp;amp;%20Posts</link>
      <itunes:summary>&lt;p&gt;Currently I have Maple versions 2023,2025, and 2026 installed on Windows 11. Today I installed a workbook package containing a module that I just completed using the PackageTools installer in Maple 2026.. To my surprise, I found that a package installed from Maple 2026 was also available in Maple 2023 and, conversely, a package installed in Maple 2023 was automatically available in Maple 2026. i noticed that, with the exception of the Maple Customer Support Updates, the toolbox directory is no longer broken down by versions. I also noticed that the directory containing the module installed by Maple 2026 was named by the workbook instead of the module name (ie. hopfwords.maple). As I recall, the toolboxes used to be version dependent.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The question is to what extent can one assume that a package created in Maple 2026 will be compatible with at least the more recent versions of Maple, I am also wondering why the directory name is now the workbook name instead of the module name.&amp;nbsp;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Currently I have Maple versions 2023,2025, and 2026 installed on Windows 11. Today I installed a workbook package containing a module that I just completed using the PackageTools installer in Maple 2026.. To my surprise, I found that a package installed from Maple 2026 was also available in Maple 2023 and, conversely, a package installed in Maple 2023 was automatically available in Maple 2026. i noticed that, with the exception of the Maple Customer Support Updates, the toolbox directory is no longer broken down by versions. I also noticed that the directory containing the module installed by Maple 2026 was named by the workbook instead of the module name (ie. hopfwords.maple). As I recall, the toolboxes used to be version dependent.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The question is to what extent can one assume that a package created in Maple 2026 will be compatible with at least the more recent versions of Maple, I am also wondering why the directory name is now the workbook name instead of the module name.&amp;nbsp;&lt;/p&gt;
</description>
      <guid>243600</guid>
      <pubDate>Mon, 18 May 2026 03:38:46 Z</pubDate>
      <itunes:author>ianmccr</itunes:author>
      <author>ianmccr</author>
    </item>
    <item>
      <title>Configuring the ribbon interface</title>
      <link>http://www.mapleprimes.com/posts/234841-Configuring-The-Ribbon-Interface?ref=Feed:MaplePrimes:New%20Questions%20&amp;amp;%20Posts</link>
      <itunes:summary>&lt;p&gt;The new ribbon style user interface of recent Maple versions is well structured and visually much more appealing than the former user interface. Great for new users. However, I do not use the new Maple version for productive work because it is considerably slower to use: Much more clicks and mouse movements are involved than before, which breaks the flow.&lt;/p&gt;

&lt;p&gt;To improve this situation, I thought about &lt;a href="https://www.mapleprimes.com/posts/231847-Are-There-Alternatives-To-RibbonBased-GUIs" style="color:blue; text-decoration:underline"&gt;customizing the quick access toolbar&lt;/a&gt; with menu items that I need all the time. With Maple 2026 this suggestion has become a less viable solution because the quick access toolbar shrunk in size and moved to a screen location with low mouse activity (to get there fast, the mouse has to move&amp;nbsp;back and forth like Speedy Gonzales). The tiny buttons in the toolbar are hard to distinguish and to hit in one go (a golfer might say &amp;ldquo;it&amp;#39;s rare like an eagle&amp;rdquo;). If you disagree, try to write text and switch to non-executable math (to enter a &lt;i&gt;symbol&lt;/i&gt;) and switch back to text and continue writing. Do the same with the former user interface (e.g. Maple 2024) and compare.&lt;/p&gt;

&lt;p&gt;As a new suggestion I thought about adding a new tab &amp;quot;&lt;span style="background:silver"&gt;My Tab&lt;/span&gt;&amp;quot; to the ribbon that is customizable by the user. Here is what I would pick from the current ribbon items&lt;/p&gt;

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" 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" 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" 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" 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style="width:227px; height:95px"&gt;&lt;/p&gt;

&lt;p&gt;(A subset from 4 out of 10 tabs: The Home, Insert, Edit and Help tab. The latter is less important)&lt;/p&gt;

&lt;p&gt;I would probably also add these two items&lt;/p&gt;

&lt;p&gt;&lt;img 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" style="width:141px; height:99px"&gt;&lt;/p&gt;

&lt;p&gt;although they do not fully replace the former buttons from the &lt;strong&gt;contextual &lt;/strong&gt;tool bar&lt;/p&gt;

&lt;p&gt;&lt;img src="data:image/png;base64,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" style="width:167px; height:33px"&gt;.&lt;/p&gt;

&lt;p&gt;I use the above buttons from the former user interface allot in text passages to toggle between text and non-executable math. They are also useful to change the input mode of an empty document block (instead of inserting a new line with the desired input mode and deleting unwanted input lines). These buttons were introduced with Maple 2021 to improve usability, now they are gone and with it the &lt;a href="https://www.maplesoft.com/products/maple/new_features/Maple2021/PDFs/Interface.pdf"&gt;ease of integrating math into text&lt;/a&gt;. With Maple 2026, I have to go back to using F5, which now &amp;ldquo;toggles&amp;rdquo; between three states (with the drawback that now in 1-D Math no indication of the state of the &lt;a href="https://www.mapleprimes.com/questions/243550-Cursors-In-Worksheet-Mode" style="color:blue; text-decoration:underline"&gt;input mode&lt;/a&gt;&amp;nbsp;is available on the user interface).&lt;/p&gt;

&lt;p&gt;The above selection of menu items is my selection to work efficiently on &lt;b&gt;textbook style&lt;/b&gt; Maple documents composed of explanatory text passages (including non-executable math) and Maple input and output. Other users would probably customize differently according to their needs.&lt;/p&gt;

&lt;p&gt;A final remark about the undo function. Most software has undo on a top level. I do not understand why undo is not in the current quick access toolbar.&lt;/p&gt;

&lt;p&gt;I strongly hope for productivity improvements that I can stop using Maple 2025.2 for Screen Readers (having the former user interface). Please do something to reduce mouse movements and clicks of frequently used interface functions. There is too much tab switching between the 3 most important tabs (Home, Insert, Edit) and too little functionality and ease of use of the quick access toolbar.&lt;/p&gt;

&lt;p&gt;I would be interested to know which menu items other users would select.&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;The new ribbon style user interface of recent Maple versions is well structured and visually much more appealing than the former user interface. Great for new users. However, I do not use the new Maple version for productive work because it is considerably slower to use: Much more clicks and mouse movements are involved than before, which breaks the flow.&lt;/p&gt;

&lt;p&gt;To improve this situation, I thought about &lt;a href="https://www.mapleprimes.com/posts/231847-Are-There-Alternatives-To-RibbonBased-GUIs" style="color:blue; text-decoration:underline"&gt;customizing the quick access toolbar&lt;/a&gt; with menu items that I need all the time. With Maple 2026 this suggestion has become a less viable solution because the quick access toolbar shrunk in size and moved to a screen location with low mouse activity (to get there fast, the mouse has to move&amp;nbsp;back and forth like Speedy Gonzales). The tiny buttons in the toolbar are hard to distinguish and to hit in one go (a golfer might say &amp;ldquo;it&amp;#39;s rare like an eagle&amp;rdquo;). If you disagree, try to write text and switch to non-executable math (to enter a &lt;i&gt;symbol&lt;/i&gt;) and switch back to text and continue writing. Do the same with the former user interface (e.g. Maple 2024) and compare.&lt;/p&gt;

&lt;p&gt;As a new suggestion I thought about adding a new tab &amp;quot;&lt;span style="background:silver"&gt;My Tab&lt;/span&gt;&amp;quot; to the ribbon that is customizable by the user. Here is what I would pick from the current ribbon items&lt;/p&gt;

&lt;p&gt;&lt;img src="data:image/jpeg;base64,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" style="width:53px; height:95px"&gt;&lt;img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAACMCAYAAAA5kebkAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAFzkSURBVHhe5b33d13XlSb44QEPOecMEiABMIBBDCJFipIoWbacZLscyu4KPdUzvabX6n9l5reumVpV06umQle5yl0ul21ZsiSLkpjEKJJiAAMIRjCByDn1t899F/fce88N7wGU5FVPhgm8e+4JO+99zt4n5/T53iWoT+of6w9kZWVhyf0Vv0u1TH1v+tv7Tqq75XfVSMv9egawGz/Tf61FyNztedi/B60vnekI3L74jz4HHcam7+W7dNt83ivU5xgF32CaCkZNcJ851kt6A+d365k9oP39kmIe/aP/mUi4mch639/eIsosH9OZmDUYHV7kpoc4fd5Bv6fXYyatV7YG84hBRGL63o9ff59fhCDTZ6GP/yzmEtxnjokgRbJmZS15NIjViZtpHGbQJbJiK5eWiV5UuLbyM5muBbyS3watd06rJdwt+LjXLoLAWoPF9EvagkzaOAiWNuzMa4oj6XWhlgnDRuPK36tZAuvw1vG7WnjwCt4goe2dbzrjpxgkjFujVFqIfOdM8nKykZfMxsLiEmbm5zG/sKhesAFmNsniStVMkJkJ0fx7eOffDyzNNOddv0X3BgZxpGO0PW3b85aEF860uVP+XSRTDIyMY2BoHAW5OWitLkNhXhKzcws+igviar8J6H41yjRKR1rEZQPzmN71B5uhUeMErylIWHm/z1yoRc0t0+fPAg9ev9kl5g38HmRppGyB1OuOK5FiEPcX6QHAbxva3JmXzMHg2BT+7XQvfnX6GurLi/CT/T3Y39mCnOwsLFCTZC6z9DmbHDizNIijat2mYQp0mkmlm0BuSeS15b1aOYxo481XelwJoZnWZq8nmZ0gXlIOZHpE8Exa+6W8ycy24DZPQeymJ7NJbk/UDEMzfqhBLNt5JYA3QUgAPj49g48u30bf/Sfo548sJJnIwvPrmpFNJplfyJRFgpy2oP7M3wdF3GyiCZNIwe+akGMzsdd0DDIlTcxmfSeBjWDJ6Q2w6BFDZzU+f4+PpqnVF2bmUn3HNXGfCW8EdBosyLMZGUqQrtwkHkZbeksvrN3vKRMrnDm8E4sHPOFoMau6Gqtw5d4TTI9O4sy1e8jJSSA3mcT2NXVKYtk+ycpB7ZcAtpMerFozZdCo2UYxarhJ5A0uWKPZcA+bs/Ms2Lez526bxVkoysvBPx+/jJ8dPk+jmyTBCVBsRi3yC3u+DD0KXFDQvrF1PV7f2o6qonwlhJdXqAn+oCCQ39F344ZhXusL756Af/X6i9E27sz8IsoLC/DD5zdhdGoW75/vw+z4FE5cuYucRDaS2duxpbWWTJIdm0ky0XJee96tLaPXYdIiOuP593RM0kkncAXtVLfS1m8iWn0+CwL19ikhexAXCdx6MoIzxBGll0UMC34/8QvjCN/AnLRtDlLgrq+vwsvzbVwLTcQlzjuFAi/uM6Efo5O+GoBYWFqkOZVAd1M1/mT/FkawFvDRxZuYn5zB4Uv9yOUC//dXtmNzC5mE6nF+UaJb6RHsaszz33sfwguL/L98RhoZQUGiIA+15cWoKytCLiOQEmj5Mn3ElJqenccDBn8eM/gD/i1zFwMrzGTOdA05Xglo2bhxPuGAk16E6KXVtrY6/OmLWzDHMO/RK7dp687jvfM3VPj3P760FRsbq9mOjnsEMlYLACvtJzxEHWVeuXSSB9BfMDHSLM6jWby/qwWvbFqDcjLLbCosH4ciPo82SVocg+OTePdCH4M/V4W7U8PKv2IY8t9VBKNy0t2fVeydHS+QSWY4xu6OBppSWxjiXcTJG/ewODePX5+9Ro1OJnlxK9prK6hAFrGQIfWaNqKszTqzbxKGTK+56fVh0lXVQUtKt59nToAkNtEa6+sr6SPW00TOxyw1f7xPmGA1BR3i9eptJQwyNDGJvodPU+eFrH21Z/VJmVjxIiPBjBT+vqjpOfoke9Y3U6uAUmkBZ/sf8Bcyycle5NB2/LOXt6OxohgSaBSVn+7HRGzR+zjmUUx+i7QMIugghvL27jjf1vqs92zYOcdu7PccX8QfnUoXPum0F1s+wcnaP9a7UTiJem73EUQrpmCQPq71XoInPGReyt9Y/ti+nNenM63aO74+rp/J0/BBbGls/2uOxHiJyCaCOTKJhOP2MMQrWuW//fYULt5+hNnpObxFVSnO+n96aRtquF+S4HOHSeKYfGHI8TrBcRCpA1aQYdZEdivruUXsJqYM38y01+c+l+aGYxwYpMMC4TBYpP8oOLJ/0uk5um1cE9Rs2QiDyLxkjs7HMq+cH1vw+GdjCSkTPL0Mar0rMb1l5Lq70207+4npO89bAeuXUWZoVuVzA3FfZzM1ygL+/L3T6CWTTDC69atTV1U05X+jT1JbWqhsX8tESpegvUDR38+kL10wLLNE6pdw08FkmjlaQ5N/nkiiewVuZJpD1vo8TGsM0/DRJP372cKMG9Oen9tgccM7DQ2yCmDi2NN01HOpLV7euIabU4v4yw/O4vqdhxgbncC/nLhMxz0H/2HfJhVFkWhFJiS9CjON6CKuFAyS/OEaaSXz1zVPcOxfN+9Wqp3MzOdmZJNZ83li1sQs3vHNcDA46XHRY1ZJfunnn8gctUM2tcUbWzvouC8oJpGd9nFqkn848hny6Sj+YM8G1JSSSah19JOxjsb7IgAcBBvzXNzz9qp25x23L2KNEeSGmdoGpSuEaSL/M68pqtv1ugXhbSfP7O/CmC3IxzBp/Dj9xKVTrwWRXjg4hgYJk4I2cMIma73v9U3EjsxmDPub29fRcV/AX7x/FvcfD2N8Ygp/8/F5teP+wz0bUcpQo5hjfhKMlnxh0SNd1UZtkpp3tt1H3jWDSQOGyY62CW8lDG62z/2M5YaRHx5WP+I3yb4VeNxEolZ6uN2vCbw4t7Vh2Fhejen87Q98hONV4cLeEpAIG+csu+eWX2H/6Aytz9c22b3tFOSMRByDQaIQGfU8WCIu8CyWOOdvbF2nolz/7/tn8GRoDCNjk/g7YRI69T8ik0joURgq3kjRkiVoHyNcanv7FUlkMpWiZhnHPEvXZwjS5lFzsXHDTV1q9CSFURFPW+dSONkOr1cLmqEbpEF1wWhm6uCApZdRLFhLe5md0EQyP5de9IIyy61EPa+28DKzn/kc4eeOItrzMoR500VONEEGtZA9njmaWMVc6Bvb1inH/K/IJE9ll/TpGP6e5pYg7vu7N6hzW6vJJJnP2iud4tmy6Y0XTdhOCFgnDJP0DetLCG4RUzykuHNtA/7rd/ajuDhf7YEIAYopHC4EnPHM0Utv4pwDhTBn2erLNG+JYC0gn5uZe7llIKcxJNq5hfMtIQ0JfdjvOVZBOCx1BjUxa0TCVBhadanlRow50mLqy5q8JFJVFBfgm8+tV5Guv/noHIbIIPcfDaWYJBvf2dWpkCZHVqxPHGKINsNUT6lmUUjTTTGFQg/spR87e3C1NwG9Y5sxE2+9zruWRJ6lJu9sqMKaugruSWVRKPHoBv8V5rDC1kH9ho1nnfPSx9LYwzB9O5weLkqEISRdYh3n2lJVqhoLXcgWgnf/bDVwEJowZSKYoOkHtQ2bpAV867i92L6VRQX4g+c3qI3En1J7PB0cwa0HT/E3hy8gPy8bX6MpVsjDdJOMbtnvuucTTiDB6jwYKasB5HCUZ/bUmlcchghuY+HMep7LU7wFJDwR3OqIkGJ+65lfO7i/D/LnpG8xk4WA5SM4Fq0kHzlT5ceH2QTSIWTLJEmXKJaTx/ws2ua35aCk+g8OdLgPi0pzk6ls9ROyDxJ1DN6edhwkhRGBk8MtiKngkeU/3LtJOeY/O3oRwyMTuPlgEP/90Dmq1By8tnmNOkY/pZgkHnFFMUaQmg0KmTrtdcA6OekK5FGDxpu6r1V63QYByCYzxwoQ6bs4bzOFm2DM6w0jQIfxRqdmcI+HCiUgIyclBHeLizERZ4DR8oxTjLxMhaK9U6SeIWiNr2lFG5xJ6+o8HkJsB0q3Oaz+3Lay1yzzEpgVjVhmEkqbnx27iImJGVxjTsn/x3CwqNdXNrbRDMhalkZRANHX4DX/wpgs/tpNMi5qVp/Hcxu+cQID9nzstv53bFyaTFIvrLKZ0jA9O4cPL9/CW2euqRPbb+7uwkvc/5KjInGPE8XDgZ9Z471ncurdeNH2QYIAEheR3vfNTlZUbyJ5xdeSFN0f7t2ockX+kUyywCMpl+48xl9/eF7Zmy9vaOO/VnRLyT2DUAq2223b2itJFUtrU3wWMilcm5qffl5z0oHoF3ZeGNslnhxB6MxeopMT05P42SeXcbb3DrKIjCSjTTvWNqGcVgIYHLBQF8S8Zi1jCgY4kai4Vo9XoNlWjB/6MQ4rRpF0ps+DJZVIFzFV17DIww8Y5hUn/l9P9GJ+ehbn+gbwt7RpZTf+BR5ZkY/E7eNJjCBJHyZho8wBtxbMFBoWkVnzCDcdg+YaNHI67d1tHQFjfe/1M4NgbrmWS5gi3p4wZL9ITSKfp9zjGiMOy5h3Al/qcLjDb/tDjunqWCNBJrIXIsFwDaYfxSBWtMLdnQ0Mr3kSZK4ERa7i+gnexQjRyyHA9YxW/HjvZjp4i/jtuRuYZiGI00zdlX5lg3F3R5NiFivhyr+GaIKLIuk4BBanTdQ4z/K5ifiizC8/o/px6e3X0ciSlyGCTk5M2Nl/Caoc2fty+zQKQ8uCwcx0Jk3++cA8xkZheogLcmxNvQS3tQAi5lUWiV+yEv+MhxhHmLp7jAlXs3T8jl/sV3skG5trUVuSDM0jSYdJ/WaZ2fR01LqOPPndf2w9LgSDhIzzvm4Srp7mijs/cztrHrJPJZl94oxL9CqPEabSglzle9hWlOBLvlMahB85kSs4lvTs1atNEHc1Xn9YqQrtZQuvgUUb7PCfQ1zWy2J3uo8L29rHkQJxpxjeLuXkqxyABIq5yyubQRIeVOqDoeBx+iWSaxKU95EOYwTPJcrEciTg6qz7WfSSjpOezviOmTw6OY3PBkeZzDSVynPPZlrshDKpbA0iZaA+unILNfcLFS3K25UlBWiuLEERw/fugI53HnHwkMncw9/Rwrwmh1V/OUgyuiduUpG6E6X3GOw3WFJJoh3ikN8dHMPPeNL3CLXH9MS00iodrTX49o71KObRCJE+qx1WjfJpwp5HvZsOGoOltlfirbxXuwfv/MMEjTjj03NWtOrnJ6/g+sMhJbASxN88NcQYtT03QlTXNx49xf/11nEWIrH2QKRdV30F/oB+poTvJa88OO368zCp/Fo5NOXWy9HBiA+P9ljvOYxkM0wY4OWZhHIfUgr925le/FTtiUiSfgLraHL9MXPc32CplyRVubX5FFQIO4iQdBUbJq10oAURoT/ikz65mgggntRcHU3pzDid/mQTcITa461Pr+PklTup84LavMUHSXU4x4OFw9MTLtAcJdNU8dT2q5vXKjMtig2CfGC70yBhrCjQCE59RH/hPKMPYjvo1mBxTaeUSZQaLwrIoczBxQhzPKW2+BVj6H/HnfThkTGuMIG2hkr84b7N+Pq2Dp7JSaoNReuTbiTLJnwTo3jRFIQ2+90oQjb5C2EMuizLU7+Et43WWFHzi2Jn7/qd+agAD18vyOXBQWEGEVZiBi9/PGN7HU9qICkUIZaCrCM0MqYRuYlRwlYRTG/BmZwyhsYguoR3EOqkk0YB0XoexRhRvVjHE7IYQ5/Dr1jU4R9YzGyItq0Av4Fh358wmeqb2zvUqdOpWWGOKJkTNuJK3g3STHG0zErfjYKi9/lK1xnc3yxDuXJ48I9e3Iz2unI84GlswaEQ/AjNq0+u38MYfQ/51FQW47k1Dao+s20SN9D/eLGrVf0dVtTGzzj2EXc33TlWj9/0t2kziEa938vfKR8kGoBOgTmLebyd2VpHJ1jbzgx3vjRZI8xBRphi3PyXwhwfX8AAbVqp9ldbVaJq+765o1NV2xjnCVQ3CNIxmRQrr5C50iXS1W0fJkH9kbjVHVvvTXIxhBnkNHB7TTmGaG6J/yF4vM1idL33BzFGppFPc2UpfvTCRtSVFlvagv9V00mXnB8J46/Wx8QADn2mN4q2URj0olc9R6nroOf+73V7UaJjUnFxkoT/Niv8/d1H53GbWYbCHNWUMn/4wiYeZOzmLmxBijlsAg+bXxTj/34zSXqofjatFQRJfZLPI4JLTmWLMJWQrih3OZJu202qwj9P4DaWl6aStOTUxKJ6N92PHrm0TTOhJ4s5zLSW7hjSPuWk64TilcS2b6FHucz2vtcZlwH8O5/+acoI1tGEORy6dAv/XVJwB1j3iIk7Fazy973d3TzAuFkVMhPtohmDKS1gmr+uJUxOdFjUzv/MpDHVCBzaLbHDbs0KEh5RjGyAWYic8kvQcB8mE8LxviMrEG2SRYLPorSTESV4otc5U+Wf+J29qSt/uzCjwdI8JzdevGaX21KJgnU8mKjKim4/w5qErZL8xx+ikBn03P+9vUBRx5IHcvTaHabenka/mFWcf3FJEd7c2Yk/olNeki9qmKm3rm5MY+kOscUkNsFEO7M2WnTgeQWEznh2VqH1nQ1L/zjxkLEahBpOWM9iBPfaFEZSaJE9KwnVq0NXis7Elcy2HisTy/0x49aPi3gBmUzp1D2n5eLVznStCTkOTdRAboKJhyBH4svOqwDmWO9d/D/vnkbfwKACaB53XL9D5vgT+h2VVNuSeRi81+FlCq+kCVtD1PqCmFCjBEukpJZuklxhY4SoghUFIEyY0MfKdL7efk2Cj1qEnojsUUlSk1x/IUhuoDVQLvV/OY2go0GORrb71XFrm2Lm9FjvzIKc8XQiYKtUelRfTBwpZbUX6SLZax9euo2/+OAMrt55pACZQ8B+d9cG/DGLXjdUlBgqm5jGCCPk8Dl5Jf5KI3FxIOC0CWae1XO2TTZ5WHWPMCb3mrP6/J33xJSSVOr/xALlW9vqVeLU7nWNqmKNnNFK7/SDdz7u07cWvqIEnQPxePi1xgg5i6UDwu48yNa3uTz+JEVzCHMcvXoHf3XoLC7cGOAaF8kceSpS9ccv9mANoyKT9DkcAjaNr0sYXSqa5hIsrb1mmDdcb0HATAxuhggiLq+ZZTK7gtrYI4StKWrtQfNPD05xmV80hBxU3NXRiG6m88rvEt4VU3op4HiQOwzrhqPt3wb5gvFwk842hAWXVT+sGAeAEuEQCXLyxn1VE+s0Y+ViViVpVr3OWllSXXGtjzni9JxZGyf6kdn7z+qteJIuzugmM8j5TohPdsTlsKFId8n7dw4Pek0xvS9vv87fSpSxL0mays+1Um7l92VW96jtuGaP3U5oyErlzUql8krgKL6AjgU1dhfCIFEmSxBwTHauMx0V/uPnAs0pMas+uX6fBukCcvNy8dKmtfg/Dm5HW01ZyiEPRoBbYoTNJQyhzrzMEZEwMKaLDPMc3WZU2HqD5pLJO+6+RJs/ZdG+J/zJY+RQwrUSkrXzxtOlOy9jr+YdIyJYhYmHeMpCfmT14tdYB1llNz4YL+ECx2xdeBhkNaItwRMUO1T8jkt02v7ivTM4wbwOqfCezUyz/Zva8J/JHGvIHLKjGjcl00Q2dgTOZiKTj7F69n0cWRTcZvW0RGbzEIITZnibuTb//4fn0ESn+ru7utTGX0GOHAS1T2tHmdFmx1lfX1g4Ii4cZFNylproJBPn/un4JVWZ8zs7u3CQwrWkIGc5w9QEjbhj6O9qO+n69INSEKOkZrD2kMnJXSAX7z7GX9GsOsKQ7rxcGsnv929spTO3Td1LYZ3oTH/jSF+UFxAmwGQCrPgkaPLf7LeD/LgwDRHl18i7UbgJnr2E2QeGx3CJqbEDPF0rfoNceqRCtPBWUQ+ep0l4p6t9omAsM5Jw/+0nwzhB03yJv/e01mFv5wJ35NMrKxo1lsA0MCc9s4WZkSRwlrNTl1l44a8ppQ5dvIU5Jj/JZx81x3/ktQdbeBWbqEdT+C96IV9UizCNa4r2eAk9faffYWyvE+v8HSe8KRCzfC8RSSKU+AXPVUk4XZXyVFt99o+XAcPN6NXEhkOHlgaTv+VIvETJFuUeRZkvmUSV/uHDlfohXthl6KSbJKRZyol9K6Uhrz0YYs3dC3jvXB9meF5HguE7u1vwp2SOne2NCqbWrmuQtNQlsP17JlIzSIKb+rLbRs3JSxJB6wiT9KZ3wsyauDgII1f2b/3P0haMKqorldVy5Vv7x7Q+73dhWnM1WcaiEDVfOZ+UYELd8hXQ9nzj4MvUxj/PDBkkesEig1S9V/70Px7F3/LI+jvMGZji/XJM4kDP2nqm0W7D7vYmJcmkWJz3pmvvKNKXqsOqbhfKhDniI1WYdZb5CyJRgz9hczAFBzKZs/sdt0Q1E2609reII1AeRaM3sIU3XL6CrtSrjkS3cG5HHH1a0taGgbZzZqnQGTKICdHu71QqMlXhXeZx/MPRz/Cbs9cxzrvSs0jgG3hHutxwK7au1Lmy78ELupvblk3DvCH3ydiQKhonWWkZf1SHwRJPmKOQjmt1SaGK3X9+t4ZnwkA2FDKR4Fb+uALlstZQh3NS35tvzApmwHRwErbWsH7s9/Q29u8rgZ+ZmjJkkGjSlEojEjr8Ba9X+9WZqxiRI89UiV28G11utt3Lkj0Sd7dOcnoX6Ea2bDJNU5ofYlrnL3in4b2no3T4n9nUqTnm1anTN3d14/Ut7amqKTbwVx8J0dCM08I/r2BCttoqxhATSxpq6kTdFZuy59Ox6Ze7SfVt2tvQo4fBkURnLU5EUhcESv9pQDExTRyYRbd5ZlSW5CaOJOwfZh75oDAH17CupYa3R/Xg5W6rfKjKJTeaSro9LsWKE8qpP3z5Nk7JpqKYPXrVsuh1pteCDt8Ai2dXMxX0IK9DLmS23Lyqy+lFRJivYRoyEymf3tSjzSuHuCRbVNVDV36IQ3C2VrGdeGsG/rXqMtx6qhEtX3YlFnrpW3FojLV52tgXi8a/oNU7iL2OeEylFW0wTTZzaSnRKEmJlZI9N3k6V+4dlIQnkchitoht799AMptu6rIdArydNbLqeODtIa9rswsixwBx2k3E5KvnOO215akCKvZBSe/8MofPsgRPe3bhL8SzPB2iWbbpNWoVWOcnk6pQeHbC64M5TO5mELcH6WYYPyu5GS4+HAXvEzPZKikr3ifKHQgf23BYMWrYeFJQHFzZ3fwhr1Lb3FyjaiFt56E1+U6uVXN/dBPL379sViW5w/sN3kYlRCs7qLLpGPtjgqVJGaQ6FOauLC7EhqYqlcRlhZ5NgNTnarKJvTOUPux5mySYPoYXJk5fQtTxNIX1TnB7fQ7sVGVzzuN3F2+qiogiyBZS1dhjw/oZNxRze4y+6Nn+h7KbnLIkwnyQOIykaxV3+2dmYql7HEjEnfVV6GFxN9K4OqimM4d/Q8/yFi2705qobdfKvdhyeFHusbA2sEIVvMurcVS/Q9B+/tAlo7VZKfnWc1IJUEVPohjAem41i4OUzCkpPJLlHV+vOh8kLZ1i0lKU7yj3qY5KhZLVChZmvlT/mwJaYVphDlnOqlysZOPLjzeVD6I7QibJ5A3d2e9ErVvmL7nGQmQpbzD1in8ibsIyE6NsDll9mU9lBjuFOjsEE4nX8Ytyct3rjzOGYnkP2ILmo39v/e6fTxzTxN+PF29yy5TsV0n4PUHTSvh7+a1ny+tRJGR+TmtCTUuyF6UqilR09AlN+9U4MLKFo996URmFXuDbKtkv4Z35muLdQap8ufavhBS95KHNXycAE3HqEZUwRtbX42YaL6F5iToOMDPD6Wq8pePDWpcbml74+7WZSTCxwBsFjyQ27WVAQmz8+A7waqwqsz5kJWL6KiuloZo+E+8dkYtIIz8+CtSElh//gSZWEJN4xw9josi5Coq1+YY5mCaCUCSSssd14jAxr1sIxJXiNhF+XowTJK4NBmFA03hOuoMZgauYvXvWN2ETfUX76EmwzxWAVb/wDUG/bvMHNYtWXdaBmCwU5ecoBrHcpej33COGt1dOutc0MWmVOMT+rNuExdWjtE9mc9NVr7cHG8lurar7TvYTE/PqvUU73F5N4fzt3UsI+tsWJva4+piyMVpWkI8a1gAIFwXBT9Pij8yQ4XvLHlOKBwZvGaxssGUTK6qbaHvcBKIgsOnf68j3E50Xsf55mv0ZEzO5tYihJ00bOW3TlUhRkAx7HuYfqRmlXs58TiY/RqSw5d/ZJoppHs+CBex1fF4aOn3cLJtYcVWz3/TSkWVCXBAy02lrLSzuHNMHQ5w3TEh0f+cQn5uYVq7dvOP45+IlfLMP5zj6bljGIdA4beLA8ferjdz6G/jRnTW9NNAXS6gmU8f9XRxiMS169UzLLy8xxcedyZlVYsoDupWsdSXvPntGE3qI2Af5ci8gcxB5VbvXxg9nuPBxvSajTVS6+fjlgWtw6Fifo34S9ssz98zxr78ZbOaJMHlmG4WrM/l0e9EXG8QEgmCbWG1TKMhUiju+SQ17/YUwUzOM6J6F7e+sy69RMvdv4kLr82ln8nPNPm7KgDdMK3XD1OpPOExCuwnHHJL1LiQoLGhiCN0MMDm1XgIIvuHUdEDPgpWXoPVxgp4FQTlKIpufW5LfL+XTOX2bHt6DJG2Yo21ibnd7U9TPNK/4pqH9tg6boN+jIZAqPWpuGBQJiu42DpGkSxim9nEXHjVWsEklvlf4DvZqRmLimHphUjAaM+4WUcTtN0XiaBx3sMI7p89HQ8kc4jKV3db7TqQPEneAdNGit4/eA1hJ7/HeDZpD8PrNEThprx/d0fck4oXJ481X6Ug1Bf880tsFDyNW87Pg/sNMSKNOSH1pCa/Pg9biQ9dpqc5irdbkvEQQtKOdyUR9ciiFj0wYzLteLyHbz9OFi80gXoTH6yfa13Azhbc98cgyPXLdgHXRqg0xq93Swpy6jUuOsjmkHKZZg0w7/7gObrwmbRzNHaVRovwzGd3fJlxQuNvbcPVeFpVy0tO9uiwmefP0rRwky6aJItUnvKXunV6IWB4pZ1MePpMd0ThATe+4tyWihHD4s0Qi8ZTdt0hGv7HImoN1/Zzu/5h8K4coHL/ALj/j7cck9e0x3P6EGcpBJiX74LrmJ8YwytO4cq3yMoPIL4RvsqgcpcX5yIO96xwTj75mq2E+652a8K0zTRwGCmoT1LfdnkldIlAUjbJKSuq6QX12zy6KJYTI3ALJ/LDvizCiRGx8SrfZOUFkqlz+csMwgjQRWwjgyXwLwoBsYh2XN7WNI63scaWtiWBNyPVK1ijijCck7F6yspk3Pz2KJxd+jV99cgt3RuTOQCvvZGmBK87JRWH3V/Da8z3oqack0s++RE3lC3me3vrN58aCJu7G2YIcUxGtmrrTxEsXGTJIEOFa32cn8zHz+AquHH0HZx5Vo3X/QezorEPF0qxS8eo4tXKiWMC6YBQ3jxzGkVMjyNqyH9/c0YSyfKbYappEJLlD05qBEApHp53MZ/LOGVy5dB73qw9ib1cdaovkKL7TgU4zbtMwyk73Er8XNlEUli4xGPqTCVPIzIw/xX3Uo237BrzQXsxDiLwrMGcaM1O3ceHDQ/jlqQu4+Y0D2PtiO8pnyDjWtR0pRveY2kRQ8My0tqHtotYutJA64e3pxzKRwq0bx+SMsIJSY9gBF0V7FCr5kzfRe7EXhx/XYv++LqypKkQWhbp+JthzBVt6ks4donNs06xsHj2eHseTvjM4f6MMjxq2oqO5HnVFWZgUwlczlOuBma334BruXTuD0zcLUFI7ga/R/BEJbx2Rt80bG9DW3+aokkPIXgEp81mYGMTj25fRt7QH2ztIOKp5CHHGcm6CTJ4w6aXb8PJ7ugwVTHRZ2XnIqVqLzi07sa+nglfVLdKEoOac60RDzgl88G+Hcfp4Eom6KrzRSgmhLqXlGrJzWQQjyRJNWt8Ls5ghsYig0hVuVk6eKr3ElAx1llaZdjPTLNtEmDJbNFv+nhVBmFpXVg5y83mEnmb2HCtpLtLcy6HA4uXdWCT+E8SN9LVITTc/O4O5JZqDrAEgGaSSMS/fz/LmsXnHZuS8+U6S88hxYLcwN4s5liRV44pJyVsCElzDEsfIogbNyZI7S2QOMypHKSu3AMUUErODd3H5Vh52HshFcVGuKj81TcFprzlDDRIhGUQacGIFJcWoKsvCo8v9uNVJybapHFmTLH9vWynZ8xi80ouHLCq3WNNGs4CLseQG/0sQCHQ6iQwLDHxrkaaYIM2+004Bm0SBWQKQtiSlglwfLYy1OE+JKgBLJWsJkyTzCnks2iqMZu0XCKMS2ERILoFtg9sCNpGc9tHpGBLzGTfJIlHMTk1iYjKXV9opA5eyqAKte17DmxjC379zB+dP9OP51o2oIEyyyRyJsRu4fu0qegdmLJiQ0bLrN2JnZwMai8HiG/NK4qqrmgcv4kzvbdx5yu8I52RJNZq7tqCtcgbDn97GcFY5qte1oCpH2IfSePoerpwbxnwpLYnORuSNPcHDvtN4lNeIguEBDD+6j4GZHBRVNWPNBgrSooe4/sllXLs3gvmcClQ2rMWGbY0oFi3ANG7kFiF35jEeX7+AM/1jzFIV07wYjd0bsb69ASWLojEHcedyHyYpLPImhzB88zLuzBagsLwR63q60VRegBlaFMcuHsOJG0+QNTqHU++N42ZzFzavbcba6rzlg5spBvFK0nhqPyx0uUR7Pzu/EKUN9Zi7cxUP7rfgQXctGrOEy0U6kAWm7uEqkTI4zaPWFcLhKakkzJE1jqd3H+LBgxHMCkFnEUFFtWhprkJFUQJiWi/OjBPANzGWpPmWPYbxpw9xb5iIyylAflk91jSXoYAMIemZ1n+20hDGIAJF4i6MYezuFfQ/mqL0EHriRZRNTahn7nv+vDDJan/S1Tpxxvf6PZZmcjT8ApkmgZq2drRXPcKJB/dwe3YzSpkclRy/g6vHPsThS/24t1SCkqx55as9vfwYU1PP4+VtbShn8QbKcsw+6cPljw/h8K2nGEEJimYHsVRYjcHiLtSUDuLGkQ9xLauLVz23ozqXtcuYwLQ40Ycz7/Zisn0bKratQ5IFPG6f+Fccmt6A6gRvEpulWfh4EHOJAlx5uoAdVU/x6Oo13OINuUNPqAGK+jFa+Q3sb6lEiVy+w/YDV0/jk5Nn0DtKgbpIv3V8AtcfTWM0cQD7OhmGGH6M64d/iYt5XGNRHnKHbrC/aUyz2MOthQK8/nwXysYf4d5t+mtPKHBnp3GvbwoP5yrQVFeP9dn5cuGAohdPVZP4JlZoCFe4ncBZSBYjp7UH27NPYPLJAG7e7UFTA5G3SK2wMI2FW5/iylgFEk0bsal0BleFfpW/QQYa7UPviaP48FNe35UvOeJZmMpeg71f2Yf921tRQc0x+bQffUd+iuNLu9FdPo2pgUs4e2eKDJiHrNJuvPqt/djRXo1iY30Hqnf6RGP3+A4J5MitGQWULFZFreh5Ec+/8gK2VnEuwlzx5EUcSl5hG7M5pnChWWtKN2pztnLyl7BQXIqSkiRKWMxvYoJCJnccI5/+Fu+foP+39U386Tc2oZ7ljeYn7uGz3/wcbx85isVkCX6wvxnzj/tw69iv8M6FYqz56k/w4xc6UDHM4g6Dj3BrnqaVKqAgGsm2AmwmpbBTmspKk5WokQB69MZtVL72fbzCGmm1T8/g3Ef/gn/58J/QV7MX337zB/gvPaUYPPFbvPfeWRw/2ocNb5Sgsr4ATz89jmOfkIGqXsePf7IZTQXs//4x/Ozn53DmwwI0rz2ABhmP2u7RZ5eBV76Db3z3D/GtJ2dx7v1/xrsnPsXVhgrs3/wa3qisQNWx0/jFvWZ87Vs7sLGhDDm0TqaUpLTMHKVBHJs9vT0R0/6BgxiGGhcZvk1WY21HA87cuIPrvX3Y1tSGQjLA4swsbt+8iYXCbhZpK0fu6HVLxqd8g/F7Q0hUd2LvH/8Qmyp5M+o4kfbbd3D8+CnkFJbh29saGLbNxsLUMB5ffQePO17Hq8//Cf7rm8DQ7Ys4/btj+OCjUhQmn8cLnYUpCrLXLXsGLFrXf5TAv4DPFp7DG3+0AY0sn597/wTeOnQFR97PR+UPdqBFImsSAkybtIN8izCn3zyILozceyGe9immUKTpGUaYZLG4GAVFhShRQoj2/nQ/zp8ZQX77dmw/sA2tTEdncVfmpjdj2/7tuP7Tmxjuf4CHL1cge+gqLlx4ipJNr2Drhk405hAnpc2oLqhHKfvLzpKi1wJXy1S1zWLlp0jtXEVkQhP8oR+ToInX2dqINbQGUNSCpu4NaD97FpPrO9HU2IAiEngRNdHmrvvovT2KoelpzGc9xfVLd/BktBwbDnagnD7TktQ8qG5HW90pPHnYh5v3DqA2n9YJGbWkaxs2buhGOyVkklbGus2b8WnfBCbGxjFFAVuVx7A3Ha+E+GD5NMHyqSlZMUWL3VjV3a14v/UxO8D2U93BdJBjv6PH3sXGl4rbYruWb6aNeusEbt3qx93pdeim5JodvoJPr/AS+a2t6GofwY0TJEFxEsV/kavYqFW6WmkqVdWjilGtrJlyVO68gs8+nsJ9+iwTWQ1KKiInH4tVbdi6eROLYbfyHvUEakuYyD85gHvvX8blay1o410XVEIppFkITOQ8Rt/FPgw8Kkbnt/ahp6MS5VKvoCEHm29QK92nQz+wEw11VGBipaXNIUFqJ311pOPEqM0koLHcbcqcVHDU1QhhODVF+3wKk4lCJGYnMff4Bnqf0jndUofmWpIC6ybPSsUp+nG5DU1oKLqO/nGaOjSLcm/dw/XpJnR316Gxikpgkn0RYVkJXraTTVN0XlNhy6Th0JX6zQ6+UMJX1DWivKSA86CDn8tHeWW89LMWFY38N59XSNPvSSZyUVBQIIVLaOpyjY94PcPQA1y5O4nHv3iCS2RKRS+c79SDPizW7UDTLBvnsS2ZsqK2CdWV5UjO01qhWZ9kX7l4gLHRGS6V76nQv/xLa0cq2FCzZXn2QgzXQLsJ321KuSMakUJVkuipLbLLurGu8RPcG7iLm4+BjdXk4oHLuJpVh201TVhbOIxe4tLyEeT/eZ9d0zqq8Mu4dOjX+Ok13iTEvpJzTzA4VosaUoPclp5Qd3InUdq8idKoDlXJaQyPspp8bjEq13Wg5XfHMUb7dGQ+gYJlHreQlj1I+/PRA1y9P4Paj/4Zf3fYAjbIJKN9VzFe2InqUTasjVzl70EDJRKQS2Ifpe82Vl6DugL6CPfGMcqoUSGlfjZ9D6lzaWGB5phEl3JIMCSiuTGyzfgMJrLLkF8oBcllR16u0ROkcRNYXhEBJErCCw3ZoF0O5Vqwl/8XyS1aRaJTUsN5gZqAHomKaKlwLNuIgFVXwak9Cv43Pk7CZuWV2rVYv6UFpSK0Ulc1ZG3oQXHtGrTWzCMxLcKZslNpLuv+dsHtIkPhi6I5OZbF0LZnaq9bEaBrBTGjWEHmQhRtyEQZrJsrRsvGJpQ8foiHjGg93L2IR1Sbpes3oIHiKG9S5IMFZVlQVmIE9z6lE3bmAvpHRzFTWIEiiSnJlSICbBvg1p8sRmfVv5uVkKTATCROHlUmo2DcCjB+soaGMTa1gMmCIhTQqsgmoShgc74Va59DGyMaHdUScrZKMFkfHQ62NtUH8JKHCW5BJpb+rrvP6BOvQX3KnElcPIKSnz+BgRNXeFFOEtVbabsX068r5PfUA0uMBM0vMQjC361QCW1vBijEqV0oZptSmiE0PwsWqXUI0AWazrL7TBYj7ZKRyDBSYURoWe5BzxEqVzFAMuXiDKaX5jGl4OcwoH2fh/Od/Ca72dY9H5agTP2kfl/iHZbZiwzo1G3E7m99FV1LvICJYVkZSSKeshc0NzdBc4w9qS5SfS2PnYKHoqGURFayQzcL3eTiySh0I9QV/w7DQRifKFU/j7KOLWg8+RFGej/EuZq1ePygFJ37G6jaiaLr2v3XjGxkzd3Fxd/9Dh/3F6H7e2/SSexE5RLVZO8v8efvkWHEm05xuoBwkk6VMJhIDAkPJ2QvZXIMw7NEIiVVMmkwa/J4of1cIepad+C1P30N66mTBMMSR8+RDQFKxrlpShv25TBIlEBYyfMgAKcJeBJskra1mCaLhGWCZsjiNAMk58/gtx/1M/S5Cy9vauL1aiOYqmzFmvKruHm1F72da1DdUYxCrn9pdgiDly/j3gxt84461JSXYbq2ES15J3DnfB9uN9RgSz2jWDNjmJ4c4d2GhRQyucjLnsLI+DCLli+iqDWP9vwT9H/Wh7sPR1HYaTnv/o8taEJgpxiEgrasFc31Z+i7MsR7fAOjYjWoyhUJxqr/dwcwNZOFYpposT5KyJKBuBUwP81/c/PphyRJE9wHkVt4U514NMjq2c3OJC0pMJ9LZlhTgsH7x3H+yBQGszrwPda/rUwyrJgCgKWjySyjtHsnStG8dRv2vdiJci5ENvpu9N/H8Eg26tTBLdEejMsz3jv8pB+Phrow01xHJ5QMNjKEoc+u4eZCGdZVlaEiTyRTakapf5dK61FbeZ5m1k3cuDaEBu48l9CWzaYknByhj0QmzKFqcQfAdPh4OjRixQTPIBgHaSJr0zT8Yz1fYgRK4PTo7i3cKBwCt5yQszSF6UeXcOzYJfQVbMSBPTuwtYKRPuqO7MpN2L79Ah4c+hRnPySR52xgFEvOdN3HlU9uYqp+C7bxeryKpSJMNm/m7xfw9qkP8UkJx9u1DpWMYg2NDONh/gvY0sb9kHXFOHnqFs59fBode6vYTz8+vXgfTwezIWS7JJvDfFVtCi6ffbLWvSRHk1h+SLSQQ57WOb45+V7eK1iHri1duHPnY1x65zcoKdyLjmIy5sIwrl54iMX8euxoKifOKC65Dybn+qzzVSnYSmSVfcn3SknRypBbCJJPbuFmfxOKluh3kdELKDztOzI9O+kOGry70TqCwp5Zkl0IXRDmqMz5+UK0dXTgQd9nOHT+Iar2vMiC1sVUwQuYUHaotE29K7uvedyXmBnFIOPX9Ukie+BTHD93F3cfc/NKbYPL7UJWqDZ74ATOX16PhspKbKjlRtTtC/j4+H0k134F3a31qCSQH6eCBkqFc34LRd3o3MQNpNsncerXh1D+oz3oLOXu7OIoes/ewsRiITr3dKNUbGLf4UYbGrr0S5mHyhE1yEkBCb/3Rpf0SKAGfU8HZtlrv6tOHojPkMxFyTAjeO9exfUjOSmio+mU24Jtb3wP/7mzhcKFpwrELCEcEjmFaNr7I3yv6D18ePowfv6XR1FAQmVHyGe49OC+7djanORO9gxyShrR+cpPiKN/wMdnf45/PFWCJDV3QXUHtnxjidK3HB0vH8T+cYbMD/8Uf3m+khvFLdixdws2Zo0hVwUSCAD6EzncxZbd+GzeDmXdgUhjjL5kLgVSkv6QELhFR/RfuaaCPK6Nfy2Q6Mu6X8WLC0nkffg2jvz0Go7QNM6mdbFUvxu7X2hCKU2nSY6RTeJXYyyDTjZMZQyJXNHKkPN/xU2o7epEz+W3cP7f7uBE6wF896UdeIGadFpZJcspt36MBgstk0QzIVC4NFXBXbqnaMiurUFJfTfWXp7A+s0saF3G4siyEypgEu6WU7/iJZdyF/e5mxg9fQQ//29n8W4+/YTSOkaamtGUXah20xWhSclMHlso7+pG0dNzOPUPv8M7i7OYmEtgpnwHvsvzNZtrczmGVXxazce2Z+lk1m7+Cl7kLuSRj9/H2399Hh+IPU2JO1W8EVt27keJhHiFsYKMA0X0ztodmKUY3ZKNKQlpMVMQXCOVhJ/nUv2K6U3nLKcIlZvfwPea5ESvhVw1Hh2yRLKCGrKeFwIRtgyvi69m2/cJRo9qew7gpdoudI3IPeYSAcpFfjVDr1VF6ujIrARD+F+yrBHdL38f5ZuGMcL9oiX6IMmCMtTUiy9DwZNsQ8/+r6GufQeGScTJ3FLUtxWhZ40cMclD2cQ4sksYbj3wY9Ryd7+shNOhpl5aIA6btuGlH3cjq6ICpTR3Rcov5Deiefur+El3Hior6CjydMMiN3eru3Zjf0UdOoatg4YykxzSR3V1Ea0tUlBhMza+/mO051aiuHDaOnlBLVjUuhtv/GQrEqUcQzTrHAVKyxa89MMqbByjn5RXxTXnqTN6thZT+SDpf8LeoWU3P4PcyjZ07n2TMekGVBUy6kTuX8wpQ92GF/D18nmUNhUTqFSfci6mqgs9u2rRnEMTiRJkLlGKxh5uCFJqNTyYwDzDkvllLdiyJgsNm6hpciuQQ6KfE63DIy3Jqm50V3PfYnYAtyeISiK9pKUbm1sp5WiDz8zy/u+addi4txjNRVUoTS7yO2I4vwLN2w7g5ZJSND1gYW3ZKCSic2s70NZWiRzxPzxRDR1W4UTtFTpRZlL6WJA3LG1ON5VaN69qDdp5Wtd9L4eochI572qZk3vFNXyL6bYwR9+OhFTXzlCvLW7FnCEO5SIhOdOoksCo6UWI5VR28BoKK43BsogZHiXTzakzU9kMy7dgXUO72ihW485SU5Wow1bqLNZSkqcrGsWn5PEgMof4eFl0+nOLqtFYSb+QTKAu5RTBk02iri5DJX0pEYoSjVrgUZIsCoPytu2obXc0sphUcxQUMt9ENo84tVZSuJHR5uQcl9ArfbPierRWUj/JUSL6GhLJyk6W0veqQb3cdSgHPtlendVKkXiqcJyNPN1JdzvsegTHX7zarn5uSU4Jp2UX16KpohmtBIQAWt2cSqevlLHpyma2IcLmOUnlnpMR1tJhFEd5WgAxxzNBxS1o396ObjmQJkcWCGC5NbqG+xKCFAGiilIIEVMLlHXsxO7WHGwl4yjniwCTUv5TdNSzyCQ5ZU2sP7uGGoL5EgIcGZhHVbJyy9G49Wtoe05boURDiChL0mpICDGdbPLWzU+HFm3tYUVPbK3jJOh4BY4XH1bvujnm2uJIDbRIuE3Jzdq2ye2dr+tuR9s85L9C3PKzzKMWHqUf9y0TYttz/8N7e4Wld9hebHyZg5zpcuarcgxsQErodmaKX6XGUN9bIdiZSdFg6ovUgiVlgpHG5XlZz8TvFIaU1t612gJjjmPYfaW8HDI9I3NqLg5ehZZmp2TtDrB0nUEGsdWtPguTtNO/M5kK9vOUyZQCuk44CoCc5CJPfrocTzmEKCcrdWkth+7ETkwBwSYIOYOllLtEL5TTxcNpCb7LE6XTk7zfImVO2QiyMibZVpgqlZ9iI18hQiTbNMOXGg7tuXm1ayDhae86bObCqoN0l7kWpIkz0ere8Vbyd/rjmwyRIOPEwqU+Rvh4ZqGT4qFIxaw3sIWCDZvIl3kmUM3NO8GgyTu2tV/62c/cUtdBU9gYy2wUE6sWcyS4i15U0Yi6PPooNK9t/0Jnyngd2n6C0zrI0VbQUmaNGUH6e36fxNYeul/iSDQ/rMwIjPJXop6nZp4aLphI4vUTD8IraeUwlH7qI5q4/WOm/47hCjaTuaUP5R3ErVmCAeG0Cwe8pvpVZ2bHdoHHB8SM6zjwH9CSJfkM9CuoXeIg1RtN0v82ve9lhjDJGOzSuTWsTqT+6Fb6iAwnwCATTn/LZF7Hl7QrYYB475rg548MhuE/E3c7dQWbrnrs31eCJK//Eg8EcSWbxTeybctwn1zVzI3IeRW6DDZwXKTgoRc/4NzEEg7YOHDywtcND6d/r3AKg1uUIAsTamEmjelZ+iaXbedbGPGaOSatmQ6NaLrWh8uV0J5/DssaJOyKMZNzGGyP6z7NSibrfdcAaOWDzCznbGSCRjNa4mrFuEhNtz8TQVljuR1/kwZwa1EdT15GN2nOcL/BzNhmqe2cDNdD4W4h6J1/HGFjgrmXNoLahDGm13Kx+oh5FisuIaxOO93Gj9tjFGLDtYQiPY+k86tvl0wWbaV8EYst7f6tCF+miDat1ttXkLmUjnjwMmCUNtL7tn3NuJh5tu2C8W7hM0iQm6JfppmGVndX/JaCnU203gkFE15KVihCioc8XaKZJWW8flxyKfIVvYG7ccxpG+BqGjTKfIrHVMHMF+3Qm/0rt3bztZHN0xzuISxvSafWpkLtsv/hLD/BPI8c7icsMQIp36cnJ4LWb8OSexa5TAWmvbDIfQxrb8OrgbyoSNdc9LeP1CA6kSxLyVTGlndDapFn6r01p9IhsjBzIEoOBSEj3BS0NYcSBSkt4ozk12RuyRt8Z2I4YswwMR9R8a87iNGiGCxIUujr9vQtE52dwNjQKHfnueEm9bZSmja7sJwnIcq46Sq+nzX32bFHGJZ9mDxmLuat9Ipc73znMTk4iJklFnQoKmEOijXXYCa01uWOJDr49r4X1E9qHySK/NzPF2cmMSNOceqKZGWeqOoVrB6hzoeH7T+7tVLQyHqCkonI4zJTtBRLEYjKW5C5OYlGpnftfRWrnT173V/yE6K8k2Dn9p3j3n69jBguVKz+/XOLVJXLoHbDTicitzZNsBrI4oOzOH/4fbzby/QoZi7Jvu0iNwvR8By2v/AavtJdwuPuzBDlzuvT82/h8L0cFG5+E1/vKlCboqpqSugn2N+yXpPibjLmMG4wb+fy3DqWkfom9tRKjpB9GNEWcN6BTGO7GSvMNJdnhjBv8GqkRMsiN+Yef/pLHD13HTdGebiMxwAWmJCUzSMlm19/HbtYvaQywfMvzKuwPn4b2j0ps0Q0Tdz8nf5+lC3tXZtGEELEgnwhfNe+kF/Cyilia112BUO3maKPsrxRKahOMaAPjR4QRTN1egItbLzwseToO9MGeIx8vvF5fHNXCyqLSAMTV3nc/Dw+O8RjcyXfwa6WBLMuKTCnRzA2xiPjPL1gwcf+Mady+81FC9Y+M14tgCcpxpjDw3yPaW4069yucu6t/6n343ycMcwMbD/XqppYHQebJPLQypOYenwT9ydY1qflOexoyWW+OPMHrp/H2d++zVIzr+JATzMqmLklDqwzfJhdbmIke5nyntf88TKCt+8oqWX3zXY84Zkz9xSj/Vdw6GYu2ro7sLGNR6a56+70Yv2WzTz2gfsDGBh4gIaGBtTV1SqpKocsTR+x3aeZS33nzh2MMxtu3bp1KGZeuK1JnHWZ5muvOwjdUc/jkElUm9S88ktRWr0em3o6UV9KfM+vRcHIQzxheZ7TV3czN6SZN82SsKXsEhOXVL6UjnkpubT8feqZOvckR5B0kpacdtnTYtKVCBN1KlxqY/H0hTo3RfOKMl3OgVnEKmWfpIaWHDeSklA8fuTkHkctzvfcvx+lNIiNnDhEZZ2KlUUUNq5D+wuv441NBZQcLJxwJRdT//Qxrl1oZNJ9I/bWM9GYgCE0OQoPtxFqUqhhVoqHiTnDU7hy7FjyjZXUkIJjDNlO83CbbelKkbKk1E7lPscigS93YispLwfpSMALLAWUxyQXuURezl9JwTI5sqKUl6T6coykKmMjjODUvlriITaZh8pB5hg0BjA+chNnLrHmUtt67C4txOIwE/vt+ltKcCiMoe/GDbzPZC4h9gMHXkJzc7Oq5OFlEmGOea79yhUy3qFDfD7PE6kVrCpS4tqJd2PJy+hRQiWMebxCJ0yImExE+zvBDXFCy2FqkqnSzD+fzalGJcvjNFbewzUehbeuJzfMVfDMmmPZQ5dx8VIvLjO9WTIRl1iWKadpK/ZtbEzV3SIeVN0tEvpDqVfFdOhU3a288gas6dmJdlZocI6ui1yThLdxDJw6hM9uLqJ440Zs3FiPYhUd8NstaXNL6gWfkx5bvUukYooAG2XCPgk3t7kHG1rP4PEYk5VGmctROIrHT55ilgXDFu/fxyAXnN/aglYp7iXvPrmEc7efYphHs0UiLPBkbTmLhG2qZ8Y+IT7HY9qzT2/jIYsDTOew6slgPx4zL3qSqaFlDR2seVWNgvGbuHD6AU0AYihZicY1zZTsPKLNI/RLZKJRVm0cTNSiXBKmhm7i2iOeJiVTJUub0LGmBtVlBZh6eo/JMqdx5TprPE2N4/7F43hvrgMNLBbRXpNvGQkp2SH/5hLhMzz3deLEJwqELzMHorm5UbWRA5XyEYYR5rjMrLz33nsP165dwwZW15BKG36nMY5gMqE3k/eC3tG/97RR+TOStpuH/AJuyjJNVwpi3LzzFEPzNVi/rlrlcNhrX56plG5iV/ND13Hxow9x9MZDPE2Wo5wCa5awGewbokDbw7pba1Ap1UR4Hm/q/hWcZ9tPHvJ8HU/ZFk8/ZrmhR5io2ob6IjKIsmw5GzJY9tI4Hl37CO+/exL9U63YtnY9BaYkZMl8M4GNvsfkwNvog+hOo9vkUqLZhS2vCZVD7ZJfmIOxAVbge/8jPGrbhcTNO3h8bwlNXylGzfo65D68gcuH38YHfYyOzCeZbz6DsSxWs2Db3Jd7SJiU5CTEEVa/O33uAvrytqN1tBf3RyfxdOgpctfsxZZdO7Bm8gxOfHIdD1iqZWSwAK379uPgt3ahi2Un52kPPzjzC/xuaA1qa1hsbvQCTt3ioUQqtKmsZux+/WUc3NPFQgYDTAv9BCevs9oHzcbbFx6wmNgUduwqRUcddQsRIhmPQtjZFGFd3d14ZfQgPmSt21OnTjAEmk0meYXmFo8ZS7ovhYVUyLh2/Rref/893LhxHV1Myjl48CBqa2tdQQA/2WeG2LB+3AyZXv8qECFagDXMZodYtuka8JRFGyi2cezyJEbr9uJ1Oul5JIl5yaGwJTf/zRLHfWYQAyffxaFz8yjZ+wf4s9e7UUshMjt6G5+99T/xqyPHeZq6BN+TulsD13Dj8G/w/rV6bPr2azi4mwXrWPDt0eAT3JrjEX7JlpR+mcyV4InsJyxX+8lHp3Cv7Dkc/MF+JjiyvhpLlOrFZ7zuQnjww6xjtCiWY9fbQJUO9WiSlQSfckxFQqhrC6Q0KPMGplmMjAkVhaUldNwKscQzyrNMXR26NojmvV/Fd37A8/7lRUg8ZP7zx+/gt71l6P76N7BzfS2TV2bwuPcEjn70EX52KIkfvUZt1MzSNATy5P17eJRoZmmeH+P7jXz/xjt4//AJ/Oant9Des5cJMAdQlz+J6yx09u6N8zh2mnko+1qtAmWc6/jVD3Fr7HUc5Jmt//MbScyMsPTmO7/GkeMnmF1Wgq9v2oydr+ejvvEo/se5Amzasx0v9DBne0ky75T+SEFOolALDG2WY9euXSSIORxh0e3jnxxXvsnLL72MmppapTlust7X+++/rzTH2rXteOmll1guZ4PaT/BJ2kx1f8z33EQRz4G1uk4Vx2DNqPw5OsdXP8C/9lP7SmoHhU+ydS+2Mv21goyRLT6A7VwLuOgbZDNQMzFxE+fPTTPBag92vbARDcp4TjL5rYGJVdvR+z9YNZHVMx8zT2jx0VV81juFmueeZ2JcK6qoUeYLGll6tI4JVKQxyf1RBU4SGLlxHJ9cfh8XsAOvfH0ftrVVsLQPgwRcnmmFmTCGDV5to9AMPL1zOyJjfWeVTJHI1gwdtv6jb+PkjSSqXm1g+UZC6T6fsvxONjMIN7W3oaupgP7EU/RdYi2mq1lo2f8Sdm6kqSTJNNz+qeyhdB96ggdSvn/nWuavVzF3g4AvqkRh9Qb0tDaglTVTs5gp2EFR1v8oger1PWhpqGaZy1lU7OrElREy0wAd7qVWsKSsKmk/z2Ssrs20dzewDhPVNEpZ7eTAbdz6OWs+XbyGPqZwdpezD/od2UwFLSyvQn1NmRSkZSjbYQ61XgYdpBpHBX2J55/fQ59pHkeOHcGxo8doZiQVIwwPD+M9ao7e3l40sYSpfNfT00MnlSHTlAkWk7a/HM0kXyKXCWidPfjGc00s+0rBwQDMEGvjfnb4n/Czxy/h+3taUZK6bkHRhqRCM9dm/s5NXGWks6G+CnUVNC9pIs9JGq2UPK1jkKPwGu5KWaYHT7F0+yFrCDA1uJNty6m1p2iGi2lH3zEvW/xLCQIwQHDrJE5fr+GWQjt2/vAFbGZiW74kbaktB29AR8efRbPBH90Pc5lYaeJBaQ46oHep4gYe496HWYzUzGN8Igdt+1/FrufaWLeKKpDSNsGdz7ImFjKmyZXg7ufC8D08vDWAvoU67N/AFEkWq5qbkFwMpmxy46mKPkTjkWskMlbHYAGwPDruucUshtzMwgGs0bTAvI1FVuzIzWPxssp8tLWQASUJhmPlFRYzvTIPj1KJNEoL8qeI2YFrW5pRWzALWmjKDyhqW4uWApbSHJfKJwxT08QTu1gVEuM8p+nAZ6uMKvtjA1bKGFkVVSorq/DCC/vUIUnRJCdPnmStiVFKzQllXtXU1OCVVw6yKMJ25NHkk8IDtmTWIW6bs7ogMkVTdK2uUB2C6yDTwryvo61S63NZGErwhGnOeTXt2LCpE3WMYs1KJLOI5XXufoQTp87gYkc9tjTSL1j26/mLpE8zg3GS0n9R8syluooiYCuyuSg59CR80QwLEzSNWGFiKrsSeQWsKsOqjUxmUBNTRd3siJaYr2MP8HhwDnktFHjV9EM56BJx6A7N22uyGSaOaWluk8oo9DOJCcjKxrQ30pKUtsV0rMvI3WVM/q/diD2729Gk8p6nlS0oESep2L7IzoSsckg802NTLDZdQ9OMDrNU/1bzIuFJhRJGJvKyWfqRppqkWTMOpqJY+ZQ4qqqFjE8GWFig60TJksPq8KKyZU6SYSjRKqmopwdAC5nwL2p5JlVPUk4oLIjDKcUAVPQrDvDc8BEtIoiupkm1f/+LKkJ16uQpHD92XJl29SzYLZrjueeeU+V3Zlhy38QcaYqmL6i5HcVipiCjWOMJprUS/mWNrWhva0bvrREMS4kk2UfSZ0hBlGDh6CKMkYClJAGjWRREqj644JURy0nW3VpkXYJ8lrScpRAtXJhgdJLfsXZzgkXQlliQQcrLJolnye4U3Oew0soW+htZT3px9K3DSB7cjY2VPOLC/pxER6/myBx0kUdNfF0Lg1CK5tRvxnN7v4dvdVObiLTgj6TWTvNIQpJSwP7I1WtWKIg/rBKewyMIuVI1nUn9WQIAgkyiD1TAqrz9FAshl/A+CdKvFa5Tu6U6EVvk7+xk+wMHMrbN4JMSDiZBS3mXmQUJGdNmnhpV0bPJIkZkWAuAeEvRr3XDVYCx6QKFVfhsjlGzOrz44gHle5w5c0aFcUWz7NixixGfQo05LEHg/egRMv1ZkIaIE2X0tgl7J2wcBWOZtcCEwZcCRrGKeIdGkvif4t5OPyNZk5VdaCWRy9GPMXt5NHkWk0VIstJhe3kv+j67iCu8VmDfelaPF0E3/QQDFz/DXVZaLyH8qssqMEaTqzl5CjdPX8Wa6nJsaeIxlimWmOUe28PxUnBY0gurJlauw6bnd6Phxj/jV8d+hw+yWLrn9R3YxIhjFjWWSihd/qQv/Lz4CTis6Mhgtw9iEZ76TlJVWfhgeloYxKo7Ze2MeslL9KP8kBFYKr+M9n315Tu4feUR2stYdJiFWFVRFwkP32YNJRZDbqtkYj8ToKY0QbB82egyP6ScyJRjZs9TPU7NUX4ff9jP+ruPMLa+AwWFhN4UC51dYI2oCSJ8E2+a4ne0CDk9Mjk3mlQRCNZGSvD32RjHJGa4tyO+xt69L9D0Y849C0Ds2rWbhMTYHJ+5tsEEDD6c6TDzCgIfO2UuCjN+k3NigbgJ1rjq7V3EE+WDTOLO2fO4OMgaATvXsaAc95hIA/NS74piXAlMeoF5VZuwbcdneHSIm8gfyYU23GiU9OoxFqQ+PYAlRi27unmjGEtCZbduwdaNl/Hu6Q9wrJh7LVvbUTHUh6cTUxgu308TjqY9K9bM8qq52QLe4fHCt/GtrF8xqMMyQwXjWHhhG+fBIg+kmyC2yMRZVxpER5rtgIfBU1W4sAv/pkwuH+LVDqhVZkdiHHL5zXyShbnaN2ADK/kd//ADnKYzllhXo6JYj3o/w/krD5G/ZTevwipHMSE9lirWIBaNrTHUv8KQdt+qf9FqEuUgktR1BSp8oDglb+giblxZh0/qqrGtgYh+chmHD/djtuZ57OpiNUFqPTHvxK9KjjzBk8cM8w6VoIqITkrIxvUxO3Kz3KBs5OZodfXXlDknPodEubwawyytdYGi929iFqetF9m6jxJHy7jXFWSS8HtqgtIcmsM3DuOX97hzLTX7uI81WsQTBzsO4nt7WHCNVrVUp0mQQAtpKqn0Z1oJWVJ3aw/rbpW8hw9OHMev//oTFhEXwPJ2p65X8ZU9m7nvlaCQnVJFNboO/pjw+0d8xLsW/+fpIuTwyEpR4wbs/DaNDxZzS+aXoJDFsnNYBwvFDAbtfAOvDf0tPjj9r3hnKhuvcON2WyXNe6GblSsPBSJP2Z8o2y0lvlPYsdCVEtfLE7LaLJ9BUhLe+k4uTCxs7MHON3JQevx3+Oi3f48zbyWZEUjVWMCCyt1fw1d3rUEjI1sSV7fetInCo5nUHOznjpllTU3K1FgTKuncwY3JIfT/4v/GMZpwM6Se0fwevLF/G55v4WUrsrPPMkH5bRvRU/NLnPvd3+PPe/di3+49+HpPlWI+ZSaqjxnqwpjCGKI1ZGwRHvFzQuJgMtg08wqycOYwGY963+5x5JYuKcm05VWWy9ljlcOxwECo5LNiJQMVEr0SzSEgquz5Ol7topnKAnAiGMUBT3Cfo2rjS3ilrgdbx1P1zCQTtIJRrDJGJVO1yrK4MZxktcvOl3+Eqm0sUi3KlyZ4DpmisiqHZ72K0fbiD1C7xCBNMauisPZZginX3a/+GFXbxzGXV4PyYtYWVsLRfPYrjgZxw4/1tuQL50ULgLo00hEgJVLkSEDt1m/g1VmWqqygB6EkttWH9R5DdFxcCRnhudebMF9RrCSQ1D9aohahE4LSls3YwpO/uf1PMDQp8QpGvEpqUbumG20VQtzcSed9dYWtO7GDleHneJWbhPpUWcrZCqzZfQAVm3J4pxx9ddlA4qiLFRvw/IE2bOaue5EAKUWkWUUsPdSyHhuyG3FnQgpb02ata8fGlgrk8YCdHCeRAszJqg7s/to30cirFQZzeBNWbUFKE3lJUP/bMUVl7RIocHJfvMQYx5QKkeTLw5qR78KTh5903FjtTFpLFwCp53KGhEfXy4qrUaOf81BHg6Q8k9Shcs6h5bGwXJFUS1QVaVKanCcalljHrKa1Bg2ikFOTWaKGkcihfVeN0JYQdrK8FS019ElTZ6rEUpAjRPOsnVVY08rKiVY+yJwQA/tKVqzBmhqqtQWGkKUGlssHCcNdvGfLG4XLkjfFHUZJRKAIcIt4rKSLJXxEjc5YxVTdDMJmuTzO0VrdhiwejRZASM6Agg13ZefkYp2aTXiu0To+oPAphE5AyDF6NTaRk8t7P9pYpEx2cmfofanI61IBw8HrWUKTBMlzQFI+X31d2IC1661zW+I7qLL60i2PoRTUsWjchs3olA6EUVMXVFo1s2ROUigsH1Xrd6K+m8iRs1o8/Cb3jYd/gqWv+T2Ttoj7ndWjrpm8kUZF+hrtB2uTYK1lC7nlfiQxiufbDKWwfEtcZCENp7aW81jgPSs/kTQphexYN9iuweRpv8ACgK5joZysfMeDFBbbmxRk5JjhDTw+iKMNLGQ4g1qAs2awwKJc0x5z3OugywlMqeZn9aNLPaFIOfzGEp8BgLBWy2ZyKNGLGTKm3Ibq/5oEnQJUgpt2MnlVM4vSZpYPZhhnnyaT6UTjAqic/9LqY60Qrs/sdRMDRPkfbishfGqOtnlmS1j1jp/lnH1RLNtEWI4KBXClmVv1xo6UehacHQplMQ1oNhVWtaKRpUbLef7Rte+XMYrMwNDXFze9OGoKcYjaawp7CSUK7lHPvXM0aSxbcnvn4tdeUf5tEETM78Wbu64pg9RLmA+YuqPQPTX3C0Fq2vx9HIczijRW/ly0l9yD3fj8D/B12Wuh/bzsYBq7d3wJ92NdTboBHA9Bma8ljqnkbRPuoCtdnpqQ29cMxr/bTDD3b2ckWn3723hhq/ti+pxSZoMPZB5TJfU8eK2ZMEIwntLKKAzuxrtop6WXkMLMgWhVGTSOCehMD82Tk6bWJubyxfbaItxzsxBtlpI6knXiMkm3ICERxISZM1E0Q0RJ5aix4wi8qDbp+FhRfUXN18twcdqHtWEUy5Iq6SDPbuvlbJM6s3wa08f0fTyEBwHR+70URGYm2nLExs1EJg3gNpU8clWromEzsl7E2zFJzZFA3YcLQkkcreG8q68nmrCCfK9An2yltPWM3veacvYwcb931uuFmZkHtJTbuCuyOw5DSjTC4o62uu3CzUddgwX7WGF2bTQTKkPCjqJmBCaTFs08fOPX2qb+M5ro6qLuC+otxlkssw34Bc3XM6x3bqa5mpEbpcHCfCz7mfWvRVBh2i+eZjTZ78vy0bPu9AlWrjEwzUMYZGUM+/lSQpDvF/d7p51NK8F+pqxM7aR7bW/HhNCBGr1BFWrNpXCqIyPMP0kP7G4J6i51GUZMJgaL40OYHE8/MbsJ0nnHPD9vn0FaQW8Xps2C9wXCicnkwOtlRB3MhDFWev5kHByF+wrarAIaputKWN0sbxTqyHRLSM3qTV9w+SZrGsfbKK7EDQaZTlxeQtMX4fdbgvs0vZcOQMLGtTWRPnpcXytIywRrpHjwdTNslMb14zAsmiTP4lom6cDYC0dvcMXUV3j/MUys9GT5l6N1ukD9csz6yzWLlcLwy+CjmoRSGGPqTG29G8IgJq8+E2fQ5PQFkcJKkfJsScwUog7bD1n9CFE8+IdFw8I2+5T8jY0Cu6HZ/IrWxKa1hJm3Ji2bCb7TY9zUPkhcqDhA8U8tzMaL238mC17JO2Hm10r6XY13zWFHJyyvE4zXlDCZXVEmj89I0sygYDNO5hOfqbwmpF9iOy10Sf/F0U+IBslkUpm8sxrE9Pn0EbZPYprB6u+22/AN852CCNZ6Jyg6Fxa1e3bQ/TLSi9sEi9gojKPSda3CdFap/K7KcVr3nssnnQ2w9EKOXvPNC3BbsgbZnauPoNUzq8LMDa8m1+GgvxcmoW2yD9JU8UxskxAICif7GdQ/Vz/+49BgvJO86QksK7obsVGYDgFZbSU7TPIipKCa1GMNllpmuZS+uo5jU6azjjB5qTOaGXHmw4pBBBw0VtA40o9XKCgRpAki/7zsXfxgAnHe0UP+dr/eXWpTJNKkXe2+5F8/Xk3rcHKK0tVa6dNNvBFcJpZULbfkhq2OrUVY2YFu1a3fpCRH3SWjTn5OnTqFvr4+bNq0CZs3b1bvWlVA4nyiIgx+oEY5nTqDhmsne63WPOOZHGYk+1eqazKvZA7zDdRMDIAzM3wUkUQ9twcKahf2ftDek//6NV1zRQkIe/1hWi4IRnHoLbrNMoMIcYt5JPdYqEoiUo9I8r75b7YUjqZGsCp5WMxgM4i0kR/5W8qF3mclxKvMOV+7du1ysbT4DJK+NkgHmdEEko7DGeQPmIAuCNYZwfk9eENN1wpOn6ZImvbUM453Ll7TLIxA4mjdOCZcnH6iCNUW2E47S9g5fXu1XOjKUq/FMbkUg+QwwWiINW+vXbuKBw8eoKiwCB2sXt7Y1IjCgiIWYb6kymlKYQIpn3n37l3eAzGGqqoqdHR0oKWlhRl4M3jnnUOqYLOUwDl58gRGRkZYAf0AE/mLUkUMZLQw23Y1gBkF7C/iuXddcQgrnu3tXk0m78SR4kGMpn9vGtvkK8WBf5RW9fYRZnmY2sanM94okMDo6KiqDNh3s49VK1g/iqmswigvvnQA3V0byBB38Pbbv0FnZxfWrFmDKfoZ9+7dQy9L+w+yuLDUgiosLFA5waItRJvMSb4yM/ksO3Q1ERcHwJ93m3QQZJZ8/hn7paYmPz1FIbzwjSKAMMJNB1e2iRnX1FwZXsLIKB0SS6etOot15cplnDt3jgzQia++/lVcpMZ4+zdvoeZyLQsetCI/n0W52G6Kl8FIDaiurm48Zln6t976tapB29rahm3btuHb3/42tcYwLl68iH37XmStqL0KkVICJ+yaaR3xKwNh+NvBJlaYhHcTtHuuXsLwmlJxJG8mK3bP185TTwfx1qjx/RvTLC14+k1N/zyiGHalcEqn/3TaqrNYQH9/P+vRzqCIZUIWWA2kIL9AlboRU2poaFiZRRKRqmeJ/7a2NapiYBNr7raQeaTNIC9XlMiV+34/5oSrYghBEQwBSpDzlQnRrOY7btvW5NxL0EKRh6ISt0T2Ekhc+9jrX6QT8k6fOTKFl+4/pUds6Y3o1cpBWjodcyx9elP7IFJweXxsFKdPn8blS5dURUC78JmYSvIR30OuD7NL+OflsdxkQb4yqcS0kmsRbCde2svvloMfdtup4xTbjBSEaK/09+6tBO21mIg1HWIyhS91RFvP3U63lxC8bbzvexnIO7+ov9MjvExbm/ymdMyxeOP6hYk1Rrj21wnfnpP9Xbrmr3ueykmXG5EKiwqxgXdYdHS0q6iURKTEua5mBW0xo8REEmJ3Khx6J20vxJIqcf2OKIYIUtdegK1uNCseMq1W4czh9GSWtqZ5u7/zE2HQWtNh/LAVmjWeHuHT12JmknS0nzUXtz8TzBA6wetjm+ZhYhw3zixaDWZAdRaruroGt+7cViUzt29/jpqiRFUHnJqaVi/b91pEVQu09kt4dZoU+mIkKz+flQul8JdWUC0KiSZpaTn6ZpR6n7n/tu700E0g736OQ+TP0lxIh+G8bePPKzqMnd48ooSQhRN/MEEnuCDcmS0Cvz/jn7GJEHRfMIh5g+DoDVj4NMgS78/bgAcPH+ISnWuJYJVXsDYuzal169azenm9utticpJ3o9P00h1CMa3ke2EI2/+or6/nPkgRzp49q0ywLVu2UhtZjBL1Sdec0fsLYiBTcMDfdvVNhai1flmfmwg6HcYLMnVXb706oQf9bo8WxhQOzt3BBhdVWQlTbW2teHHfPpy/cI7h3QEyy4AyreQGV3lZ9juEieQePsvMkk3Eedf30q1ojW7e4Sfh3atXr3LvpF9dPSZ3ZEh7JW/iC0QfTMPejRehipIiq4fG+D15bWX9TdN8gxzNdBxQrz/hmC1uf8k2l/1mSVBgQjetHGbxSmmrouXn+wmDm6MJvXNazihc274WrWQU29EWySsO+Riddzk2IgxiHycRRpAfOUqykdfv2t+LRhFmevnll3lnxotqLIl+iYb5/fyszMGLt+Y4ZkUU0wQj2DwHb5TOy4gmxownXMIFYPrSMW4EMBrWcdboD0QoH0QmITf5yI66HDWxJL2Eaa2jJkLk4sjbx0/s56bvbcYSprH2QMKruuoADVfPJltRd+yiQZR+Cy8hWT2EmSGfv2QMW1WwmLb9hHjz9dr1XmJLR3ulh4V484vfZ5g/698XWq6LZTniljPujxJY5628d/bJra9iatnfO86a1Y/tc8SXGvHMrziSID7A4raM5x95ewvSQFGOptWPN7riJRaTdI0b4cpc0sfVLs+OaeLizNQuXYZL3Q/il5TmKEPw1OIiJmxx4erURGzhhqy3P/8c4zPvSpDyxb27musLgrWuxa02jh+SquifmobZP3G0sv6uDjMTbUWHke15rQT6SoOoaS33Yg8cfM+Fu739YvC+R3xvLB53x+9vJaBZnXfj2e3OWO72QWFWr5kQR/N6Mw7iwXp1oPD73EvKSfdyvn/fIRoJqymt4oA0vgqPnnuc8dxtwm1Zf3/ptjdJ0NUm6iCNbZ5rGH7dgQYd3nF+j9IWJuzEw+nKadKVURi0mHgTXPlk0ifTeKmW6ffrNef85p2jMeOtO5i4oxndtHma7pqCx7c3U6VHxyxJx8ReCfOnuw5/PS1vmNwbUHCPEOTHBc3jfwGadljOgdI3MAAAAABJRU5ErkJggg==" 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" 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" 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" 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style="width:227px; height:95px"&gt;&lt;/p&gt;

&lt;p&gt;(A subset from 4 out of 10 tabs: The Home, Insert, Edit and Help tab. The latter is less important)&lt;/p&gt;

&lt;p&gt;I would probably also add these two items&lt;/p&gt;

&lt;p&gt;&lt;img 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" style="width:141px; height:99px"&gt;&lt;/p&gt;

&lt;p&gt;although they do not fully replace the former buttons from the &lt;strong&gt;contextual &lt;/strong&gt;tool bar&lt;/p&gt;

&lt;p&gt;&lt;img src="data:image/png;base64,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" style="width:167px; height:33px"&gt;.&lt;/p&gt;

&lt;p&gt;I use the above buttons from the former user interface allot in text passages to toggle between text and non-executable math. They are also useful to change the input mode of an empty document block (instead of inserting a new line with the desired input mode and deleting unwanted input lines). These buttons were introduced with Maple 2021 to improve usability, now they are gone and with it the &lt;a href="https://www.maplesoft.com/products/maple/new_features/Maple2021/PDFs/Interface.pdf"&gt;ease of integrating math into text&lt;/a&gt;. With Maple 2026, I have to go back to using F5, which now &amp;ldquo;toggles&amp;rdquo; between three states (with the drawback that now in 1-D Math no indication of the state of the &lt;a href="https://www.mapleprimes.com/questions/243550-Cursors-In-Worksheet-Mode" style="color:blue; text-decoration:underline"&gt;input mode&lt;/a&gt;&amp;nbsp;is available on the user interface).&lt;/p&gt;

&lt;p&gt;The above selection of menu items is my selection to work efficiently on &lt;b&gt;textbook style&lt;/b&gt; Maple documents composed of explanatory text passages (including non-executable math) and Maple input and output. Other users would probably customize differently according to their needs.&lt;/p&gt;

&lt;p&gt;A final remark about the undo function. Most software has undo on a top level. I do not understand why undo is not in the current quick access toolbar.&lt;/p&gt;

&lt;p&gt;I strongly hope for productivity improvements that I can stop using Maple 2025.2 for Screen Readers (having the former user interface). Please do something to reduce mouse movements and clicks of frequently used interface functions. There is too much tab switching between the 3 most important tabs (Home, Insert, Edit) and too little functionality and ease of use of the quick access toolbar.&lt;/p&gt;

&lt;p&gt;I would be interested to know which menu items other users would select.&lt;/p&gt;
</description>
      <guid>234841</guid>
      <pubDate>Sun, 17 May 2026 20:13:09 Z</pubDate>
      <itunes:author>C_R</itunes:author>
      <author>C_R</author>
    </item>
    <item>
      <title>How to make this code run?</title>
      <link>http://www.mapleprimes.com/questions/243599-How-To-Make-This-Code-Run?ref=Feed:MaplePrimes:New%20Questions%20&amp;amp;%20Posts</link>
      <itunes:summary>&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;restart;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;with(plots): with(LinearAlgebra):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# TFSB Coefficients (symbolic in u)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta0 := u -&amp;gt; (sin(u)*u^3 - 12*u^2 - 24*cos(u) + 24)/(12*(sin(u)*u + 2*cos(u) - 2)*u^2):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta1 := u -&amp;gt; (5*sin(u)*u^3 + 12*cos(u)*u^2 + 24*cos(u) - 24)/(6*(sin(u)*u + 2*cos(u) - 2)*u^2):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta2 := u -&amp;gt; beta0(u):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho0 := u -&amp;gt; ((-u^2-12)*cos(u) - 5*u^2 + 12)/(12*(sin(u)*u + 2*cos(u) - 2)*u^2):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho1 := u -&amp;gt; (-7*cos(u)*u^3 + 27*sin(u)*u^2 + 120*sin(u) - 120*u)/(60*u^2*(cos(u)*u + 2*u - 3*sin(u))):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho2 := u -&amp;gt; -rho0(u):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Secondary coefficients (simplified versions)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta00 := u -&amp;gt; 13/42 - 9*u^2/7840:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta10 := u -&amp;gt; 1/6 + u^2/720:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta20 := u -&amp;gt; 1/42 - 17*u^2/70560:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta01 := u -&amp;gt; 187/1680 + 611*u^2/705600:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta11 := u -&amp;gt; 11/30 - 29*u^2/25200:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta21 := u -&amp;gt; 37/1680 + 67*u^2/235200:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta02 := u -&amp;gt; 11/70 + 491*u^2/352800:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta12 := u -&amp;gt; 9/10 - 31*u^2/8400:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta22 := u -&amp;gt; 31/70 + 811*u^2/352800:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho01 := u -&amp;gt; 2/105 + 407*u^2/1058400:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho11 := u -&amp;gt; -19/210 + 41*u^2/105840:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho21 := u -&amp;gt; -1/168 - 101*u^2/529200:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho02 := u -&amp;gt; 53/1680 + 1633*u^2/2116800:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho12 := u -&amp;gt; 8/105 - 4*u^2/6615:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho22 := u -&amp;gt; -101/1680 - 2273*u^2/2116800:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Problem definition&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;omega := 1:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;epsilon := 3*Pi/2:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;phi := x -&amp;gt; 3*sin(x) - 5*cos(x):&amp;nbsp; # history function&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;f := (x, v, vp, vd) -&amp;gt; -v - vd + 3*cos(x) + 5*sin(x):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;g := proc(x, v, vp, vd, vdp)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; local fx, fv, fvp, fvd;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; fx := -3*sin(x) + 5*cos(x);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; fv := -1;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; fvp := 0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; fvd := -1;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; return fx + fv*vp + fvp*0 + fvd*vdp;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;end proc:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Initial conditions&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;a := 0: b := 10:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;v0 := -5: vp0 := 3:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Variable step-size parameters&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;tol := 1e-10:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;h_min := 0.01:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;h_max := 0.5:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;h_init := Pi/8:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Store results&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;X := [a]: V := [v0]: Vp := [vp0]:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;h_curr := h_init:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;x_curr := a:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;v_curr := v0:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;vp_curr := vp0:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# For history: need v at x-epsilon&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;get_v_delayed := proc(xx)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; if xx &amp;lt; a then return phi(xx);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; else&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Interpolate from stored solution&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; idx := 1;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; while idx &amp;lt; nops(X) and X[idx] &amp;lt; xx do idx := idx+1; end do;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; if idx = 1 then return phi(xx);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; elif X[idx] = xx then return V[idx];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; else&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Linear interpolation&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; return V[idx-1] + (V[idx]-V[idx-1])*(xx-X[idx-1])/(X[idx]-X[idx-1]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;end proc:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Newton solver for block&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;solve_block := proc(x0, v0, vp0, h, omega)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; local u, bet0, bet1, bet2, rho0, rho1, rho2, bet00, bet10, bet20, bet01, bet11, bet21, bet02, bet12, bet22,&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; rho01, rho11, rho21, rho02, rho12, rho22, F, J, V0, V1, V2, Vp0, Vp1, Vp2, tolN, iter, dv, dV;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; u := omega*h;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; bet0 := beta0(u); bet1 := beta1(u); bet2 := beta2(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; rho0 := rho0(u); rho1 := rho1(u); rho2 := rho2(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; bet00 := beta00(u); bet10 := beta10(u); bet20 := beta20(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; bet01 := beta01(u); bet11 := beta11(u); bet21 := beta21(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; bet02 := beta02(u); bet12 := beta12(u); bet22 := beta22(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; rho01 := rho01(u); rho11 := rho11(u); rho21 := rho21(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; rho02 := rho02(u); rho12 := rho12(u); rho22 := rho22(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Initial guesses&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V1 := v0 + h*vp0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V2 := v0 + 2*h*vp0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Vp1 := vp0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Vp2 := vp0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; tolN := 1e-12;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; for iter from 1 to 10 do&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Compute delayed values&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vd0 := get_v_delayed(x0 - epsilon);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vd1 := get_v_delayed(x0 + h - epsilon);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vd2 := get_v_delayed(x0 + 2*h - epsilon);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vdp0 := (get_v_delayed(x0 - epsilon + 1e-8) - vd0)/1e-8;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vdp1 := (get_v_delayed(x0 + h - epsilon + 1e-8) - vd1)/1e-8;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vdp2 := (get_v_delayed(x0 + 2*h - epsilon + 1e-8) - vd2)/1e-8;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Compute gamma and g&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam0 := f(x0, v0, vp0, vd0);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam1 := f(x0+h, V1, Vp1, vd1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam2 := f(x0+2*h, V2, Vp2, vd2);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g0 := g(x0, v0, vp0, vd0, vdp0);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g1 := g(x0+h, V1, Vp1, vd1, vdp1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g2 := g(x0+2*h, V2, Vp2, vd2, vdp2);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Residuals&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F1 := h*vp0 - (V1 - v0 + h^2*(bet00*gam0 + bet10*gam1 + bet20*gam2) &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho01*g0 + rho11*g1 + rho21*g2));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F2 := h*Vp1 - (V1 - v0 + h^2*(bet01*gam0 + bet11*gam1 + bet21*gam2)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho01*g0 + rho11*g1 + rho21*g2));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F3 := h*Vp2 - (V1 - v0 + h^2*(bet02*gam0 + bet12*gam1 + bet22*gam2)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho02*g0 + rho12*g1 + rho22*g2));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F4 := V2 - (2*V1 - v0 + h^2*(bet0*gam0 + bet1*gam1 + bet2*gam2)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho0*g0 + rho1*g1 + rho2*g2));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F := Vector([F1, F2, F3, F4]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; if LinearAlgebra:-Norm(F) &amp;lt; tolN then break; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Approximate Jacobian (finite differences)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; J := Matrix(4,4);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; delta := 1e-6;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; for j from 1 to 4 do&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V_pert := Vector([V1, V2, Vp1, Vp2]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V_pert[j] := V_pert[j] + delta;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V1p := V_pert[1]; V2p := V_pert[2]; Vp1p := V_pert[3]; Vp2p := V_pert[4];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam1p := f(x0+h, V1p, Vp1p, get_v_delayed(x0+h-epsilon));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam2p := f(x0+2*h, V2p, Vp2p, get_v_delayed(x0+2*h-epsilon));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g1p := g(x0+h, V1p, Vp1p, get_v_delayed(x0+h-epsilon), &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; (get_v_delayed(x0+h-epsilon+1e-8)-get_v_delayed(x0+h-epsilon))/1e-8);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g2p := g(x0+2*h, V2p, Vp2p, get_v_delayed(x0+2*h-epsilon),&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; (get_v_delayed(x0+2*h-epsilon+1e-8)-get_v_delayed(x0+2*h-epsilon))/1e-8);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F1p := h*vp0 - (V1p - v0 + h^2*(bet00*gam0 + bet10*gam1p + bet20*gam2p)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho01*g0 + rho11*g1p + rho21*g2p));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F2p := h*Vp1p - (V1p - v0 + h^2*(bet01*gam0 + bet11*gam1p + bet21*gam2p)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho01*g0 + rho11*g1p + rho21*g2p));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F3p := h*Vp2p - (V1p - v0 + h^2*(bet02*gam0 + bet12*gam1p + bet22*gam2p)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho02*g0 + rho12*g1p + rho22*g2p));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F4p := V2p - (2*V1p - v0 + h^2*(bet0*gam0 + bet1*gam1p + bet2*gam2p)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho0*g0 + rho1*g1p + rho2*g2p));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Fp := Vector([F1p, F2p, F3p, F4p]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; J[1..4, j] := (Fp - F)/delta;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; end do;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; dV := LinearAlgebra:-LinearSolve(J, -F);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V1 := V1 + dV[1]; V2 := V2 + dV[2]; Vp1 := Vp1 + dV[3]; Vp2 := Vp2 + dV[4];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; end do;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; return [V1, V2, Vp1, Vp2];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;end proc:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Main variable step-size loop&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;Variable step-size integration for Example 1\n&amp;quot;);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;tol = %e, h_init = %f\n&amp;quot;, tol, h_init);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;while x_curr &amp;lt; b - 1e-12 do&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Try current step&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; sol := solve_block(x_curr, v_curr, vp_curr, h_curr, omega);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V1 := sol[1]; V2 := sol[2]; Vp1 := sol[3]; Vp2 := sol[4];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Compute with two half-steps&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; sol_half1 := solve_block(x_curr, v_curr, vp_curr, h_curr/2, omega);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V_mid := sol_half1[2]; Vp_mid := sol_half1[4];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; sol_half2 := solve_block(x_curr + h_curr/2, V_mid, Vp_mid, h_curr/2, omega);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V2_half := sol_half2[2];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Error estimate&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; err := abs(V2 - V2_half) / (2^6 - 1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; if err &amp;lt; tol then&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Accept step&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; x_next := x_curr + 2*h_curr;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; X := [op(X), x_curr + h_curr, x_next];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V := [op(V), V1, V2];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Vp := [op(Vp), Vp1, Vp2];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; x_curr := x_next;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; v_curr := V2;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vp_curr := Vp2;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; printf(&amp;quot;x = %7.4f, h = %8.5f, err = %12.5e\n&amp;quot;, x_curr, h_curr, err);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Adjust step size&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; if err &amp;lt; tol/2 then&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; h_curr := min(2*h_curr, h_max);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; else&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Reject step, reduce h&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; h_curr := max(h_curr/2, h_min);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; printf(&amp;quot;&amp;nbsp; Rejecting, new h = %8.5f\n&amp;quot;, h_curr);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;end do:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Exact solution for comparison&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;exact := x -&amp;gt; 3*sin(x) - 5*cos(x);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;errors := [seq(abs(V[i] - exact(X[i])), i=1..nops(X))];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Visualization&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;p1 := pointplot([seq([X[i], errors[i]], i=1..nops(X))], color=red, symbol=circle, &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; title=&amp;quot;Example 1: Variable Step-Size TFSB - Absolute Errors&amp;quot;, &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; labels=[&amp;quot;x&amp;quot;, &amp;quot;Error&amp;quot;], labeldirections=[horizontal,vertical]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;p2 := plot([[x_curr, h_curr]], x=a..b, style=point, color=blue, &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; title=&amp;quot;Step-size evolution&amp;quot;, labels=[&amp;quot;x&amp;quot;, &amp;quot;h&amp;quot;]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;display(p1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;display(p2);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;\nFinal results for Example 1:\n&amp;quot;);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;Number of steps: %d\n&amp;quot;, nops(X)-1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;Maximum error: %e\n&amp;quot;, max(errors));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;Final step-size: %f\n&amp;quot;, h_curr);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;restart;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;with(plots): with(LinearAlgebra):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# TFSB Coefficients (symbolic in u)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta0 := u -&amp;gt; (sin(u)*u^3 - 12*u^2 - 24*cos(u) + 24)/(12*(sin(u)*u + 2*cos(u) - 2)*u^2):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta1 := u -&amp;gt; (5*sin(u)*u^3 + 12*cos(u)*u^2 + 24*cos(u) - 24)/(6*(sin(u)*u + 2*cos(u) - 2)*u^2):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta2 := u -&amp;gt; beta0(u):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho0 := u -&amp;gt; ((-u^2-12)*cos(u) - 5*u^2 + 12)/(12*(sin(u)*u + 2*cos(u) - 2)*u^2):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho1 := u -&amp;gt; (-7*cos(u)*u^3 + 27*sin(u)*u^2 + 120*sin(u) - 120*u)/(60*u^2*(cos(u)*u + 2*u - 3*sin(u))):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho2 := u -&amp;gt; -rho0(u):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Secondary coefficients (simplified versions)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta00 := u -&amp;gt; 13/42 - 9*u^2/7840:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta10 := u -&amp;gt; 1/6 + u^2/720:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta20 := u -&amp;gt; 1/42 - 17*u^2/70560:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta01 := u -&amp;gt; 187/1680 + 611*u^2/705600:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta11 := u -&amp;gt; 11/30 - 29*u^2/25200:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta21 := u -&amp;gt; 37/1680 + 67*u^2/235200:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta02 := u -&amp;gt; 11/70 + 491*u^2/352800:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta12 := u -&amp;gt; 9/10 - 31*u^2/8400:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;beta22 := u -&amp;gt; 31/70 + 811*u^2/352800:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho01 := u -&amp;gt; 2/105 + 407*u^2/1058400:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho11 := u -&amp;gt; -19/210 + 41*u^2/105840:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho21 := u -&amp;gt; -1/168 - 101*u^2/529200:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho02 := u -&amp;gt; 53/1680 + 1633*u^2/2116800:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho12 := u -&amp;gt; 8/105 - 4*u^2/6615:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;rho22 := u -&amp;gt; -101/1680 - 2273*u^2/2116800:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Problem definition&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;omega := 1:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;epsilon := 3*Pi/2:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;phi := x -&amp;gt; 3*sin(x) - 5*cos(x):&amp;nbsp; # history function&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;f := (x, v, vp, vd) -&amp;gt; -v - vd + 3*cos(x) + 5*sin(x):&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;g := proc(x, v, vp, vd, vdp)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; local fx, fv, fvp, fvd;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; fx := -3*sin(x) + 5*cos(x);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; fv := -1;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; fvp := 0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; fvd := -1;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; return fx + fv*vp + fvp*0 + fvd*vdp;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;end proc:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Initial conditions&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;a := 0: b := 10:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;v0 := -5: vp0 := 3:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Variable step-size parameters&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;tol := 1e-10:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;h_min := 0.01:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;h_max := 0.5:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;h_init := Pi/8:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Store results&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;X := [a]: V := [v0]: Vp := [vp0]:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;h_curr := h_init:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;x_curr := a:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;v_curr := v0:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;vp_curr := vp0:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# For history: need v at x-epsilon&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;get_v_delayed := proc(xx)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; if xx &amp;lt; a then return phi(xx);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; else&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Interpolate from stored solution&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; idx := 1;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; while idx &amp;lt; nops(X) and X[idx] &amp;lt; xx do idx := idx+1; end do;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; if idx = 1 then return phi(xx);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; elif X[idx] = xx then return V[idx];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; else&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Linear interpolation&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; return V[idx-1] + (V[idx]-V[idx-1])*(xx-X[idx-1])/(X[idx]-X[idx-1]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;end proc:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Newton solver for block&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;solve_block := proc(x0, v0, vp0, h, omega)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; local u, bet0, bet1, bet2, rho0, rho1, rho2, bet00, bet10, bet20, bet01, bet11, bet21, bet02, bet12, bet22,&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; rho01, rho11, rho21, rho02, rho12, rho22, F, J, V0, V1, V2, Vp0, Vp1, Vp2, tolN, iter, dv, dV;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; u := omega*h;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; bet0 := beta0(u); bet1 := beta1(u); bet2 := beta2(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; rho0 := rho0(u); rho1 := rho1(u); rho2 := rho2(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; bet00 := beta00(u); bet10 := beta10(u); bet20 := beta20(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; bet01 := beta01(u); bet11 := beta11(u); bet21 := beta21(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; bet02 := beta02(u); bet12 := beta12(u); bet22 := beta22(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; rho01 := rho01(u); rho11 := rho11(u); rho21 := rho21(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; rho02 := rho02(u); rho12 := rho12(u); rho22 := rho22(u);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Initial guesses&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V1 := v0 + h*vp0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V2 := v0 + 2*h*vp0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Vp1 := vp0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Vp2 := vp0;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; tolN := 1e-12;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; for iter from 1 to 10 do&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Compute delayed values&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vd0 := get_v_delayed(x0 - epsilon);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vd1 := get_v_delayed(x0 + h - epsilon);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vd2 := get_v_delayed(x0 + 2*h - epsilon);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vdp0 := (get_v_delayed(x0 - epsilon + 1e-8) - vd0)/1e-8;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vdp1 := (get_v_delayed(x0 + h - epsilon + 1e-8) - vd1)/1e-8;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vdp2 := (get_v_delayed(x0 + 2*h - epsilon + 1e-8) - vd2)/1e-8;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Compute gamma and g&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam0 := f(x0, v0, vp0, vd0);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam1 := f(x0+h, V1, Vp1, vd1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam2 := f(x0+2*h, V2, Vp2, vd2);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g0 := g(x0, v0, vp0, vd0, vdp0);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g1 := g(x0+h, V1, Vp1, vd1, vdp1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g2 := g(x0+2*h, V2, Vp2, vd2, vdp2);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Residuals&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F1 := h*vp0 - (V1 - v0 + h^2*(bet00*gam0 + bet10*gam1 + bet20*gam2) &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho01*g0 + rho11*g1 + rho21*g2));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F2 := h*Vp1 - (V1 - v0 + h^2*(bet01*gam0 + bet11*gam1 + bet21*gam2)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho01*g0 + rho11*g1 + rho21*g2));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F3 := h*Vp2 - (V1 - v0 + h^2*(bet02*gam0 + bet12*gam1 + bet22*gam2)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho02*g0 + rho12*g1 + rho22*g2));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F4 := V2 - (2*V1 - v0 + h^2*(bet0*gam0 + bet1*gam1 + bet2*gam2)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho0*g0 + rho1*g1 + rho2*g2));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F := Vector([F1, F2, F3, F4]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; if LinearAlgebra:-Norm(F) &amp;lt; tolN then break; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Approximate Jacobian (finite differences)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; J := Matrix(4,4);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; delta := 1e-6;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; for j from 1 to 4 do&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V_pert := Vector([V1, V2, Vp1, Vp2]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V_pert[j] := V_pert[j] + delta;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V1p := V_pert[1]; V2p := V_pert[2]; Vp1p := V_pert[3]; Vp2p := V_pert[4];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam1p := f(x0+h, V1p, Vp1p, get_v_delayed(x0+h-epsilon));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; gam2p := f(x0+2*h, V2p, Vp2p, get_v_delayed(x0+2*h-epsilon));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g1p := g(x0+h, V1p, Vp1p, get_v_delayed(x0+h-epsilon), &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; (get_v_delayed(x0+h-epsilon+1e-8)-get_v_delayed(x0+h-epsilon))/1e-8);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g2p := g(x0+2*h, V2p, Vp2p, get_v_delayed(x0+2*h-epsilon),&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; (get_v_delayed(x0+2*h-epsilon+1e-8)-get_v_delayed(x0+2*h-epsilon))/1e-8);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F1p := h*vp0 - (V1p - v0 + h^2*(bet00*gam0 + bet10*gam1p + bet20*gam2p)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho01*g0 + rho11*g1p + rho21*g2p));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F2p := h*Vp1p - (V1p - v0 + h^2*(bet01*gam0 + bet11*gam1p + bet21*gam2p)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho01*g0 + rho11*g1p + rho21*g2p));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F3p := h*Vp2p - (V1p - v0 + h^2*(bet02*gam0 + bet12*gam1p + bet22*gam2p)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho02*g0 + rho12*g1p + rho22*g2p));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F4p := V2p - (2*V1p - v0 + h^2*(bet0*gam0 + bet1*gam1p + bet2*gam2p)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; + h^3*(rho0*g0 + rho1*g1p + rho2*g2p));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Fp := Vector([F1p, F2p, F3p, F4p]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; J[1..4, j] := (Fp - F)/delta;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; end do;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; dV := LinearAlgebra:-LinearSolve(J, -F);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V1 := V1 + dV[1]; V2 := V2 + dV[2]; Vp1 := Vp1 + dV[3]; Vp2 := Vp2 + dV[4];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; end do;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; return [V1, V2, Vp1, Vp2];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;end proc:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Main variable step-size loop&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;Variable step-size integration for Example 1\n&amp;quot;);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;tol = %e, h_init = %f\n&amp;quot;, tol, h_init);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;while x_curr &amp;lt; b - 1e-12 do&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Try current step&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; sol := solve_block(x_curr, v_curr, vp_curr, h_curr, omega);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V1 := sol[1]; V2 := sol[2]; Vp1 := sol[3]; Vp2 := sol[4];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Compute with two half-steps&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; sol_half1 := solve_block(x_curr, v_curr, vp_curr, h_curr/2, omega);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V_mid := sol_half1[2]; Vp_mid := sol_half1[4];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; sol_half2 := solve_block(x_curr + h_curr/2, V_mid, Vp_mid, h_curr/2, omega);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; V2_half := sol_half2[2];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Error estimate&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; err := abs(V2 - V2_half) / (2^6 - 1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; if err &amp;lt; tol then&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Accept step&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; x_next := x_curr + 2*h_curr;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; X := [op(X), x_curr + h_curr, x_next];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; V := [op(V), V1, V2];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Vp := [op(Vp), Vp1, Vp2];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; x_curr := x_next;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; v_curr := V2;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; vp_curr := Vp2;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; printf(&amp;quot;x = %7.4f, h = %8.5f, err = %12.5e\n&amp;quot;, x_curr, h_curr, err);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Adjust step size&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; if err &amp;lt; tol/2 then&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; h_curr := min(2*h_curr, h_max);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; else&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; # Reject step, reduce h&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; h_curr := max(h_curr/2, h_min);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; printf(&amp;quot;&amp;nbsp; Rejecting, new h = %8.5f\n&amp;quot;, h_curr);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; end if;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;end do:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Exact solution for comparison&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;exact := x -&amp;gt; 3*sin(x) - 5*cos(x);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;errors := [seq(abs(V[i] - exact(X[i])), i=1..nops(X))];&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;# Visualization&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;p1 := pointplot([seq([X[i], errors[i]], i=1..nops(X))], color=red, symbol=circle, &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; title=&amp;quot;Example 1: Variable Step-Size TFSB - Absolute Errors&amp;quot;, &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; labels=[&amp;quot;x&amp;quot;, &amp;quot;Error&amp;quot;], labeldirections=[horizontal,vertical]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;p2 := plot([[x_curr, h_curr]], x=a..b, style=point, color=blue, &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; title=&amp;quot;Step-size evolution&amp;quot;, labels=[&amp;quot;x&amp;quot;, &amp;quot;h&amp;quot;]);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;display(p1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;display(p2);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;\nFinal results for Example 1:\n&amp;quot;);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;Number of steps: %d\n&amp;quot;, nops(X)-1);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;Maximum error: %e\n&amp;quot;, max(errors));&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style="margin-bottom:11px"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="line-height:115%"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;printf(&amp;quot;Final step-size: %f\n&amp;quot;, h_curr);&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
</description>
      <guid>243599</guid>
      <pubDate>Sun, 17 May 2026 16:26:57 Z</pubDate>
      <itunes:author>abdulganiy</itunes:author>
      <author>abdulganiy</author>
    </item>
    <item>
      <title>Problem contourplot3d and orientation</title>
      <link>http://www.mapleprimes.com/questions/243598-Problem-Contourplot3d-And-Orientation?ref=Feed:MaplePrimes:New%20Questions%20&amp;amp;%20Posts</link>
      <itunes:summary>&lt;p&gt;Since Maple version 2026, I have noticed that the orientation option with the contourplot3d command has no effect.&lt;/p&gt;

&lt;p&gt;It is easy to control by using the example provided in the online help and adding, for example, orientation=[20,10,10].&lt;/p&gt;

&lt;p&gt;Thank you for your help.&lt;/p&gt;

&lt;p&gt;Best regards.&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Since Maple version 2026, I have noticed that the orientation option with the contourplot3d command has no effect.&lt;/p&gt;

&lt;p&gt;It is easy to control by using the example provided in the online help and adding, for example, orientation=[20,10,10].&lt;/p&gt;

&lt;p&gt;Thank you for your help.&lt;/p&gt;

&lt;p&gt;Best regards.&lt;/p&gt;
</description>
      <guid>243598</guid>
      <pubDate>Sun, 17 May 2026 15:32:37 Z</pubDate>
      <itunes:author>Aliocha</itunes:author>
      <author>Aliocha</author>
    </item>
    <item>
      <title>One of the most beautiful sentences...</title>
      <link>http://www.mapleprimes.com/questions/243597-One-Of-The-Most-Beautiful-Sentences?ref=Feed:MaplePrimes:New%20Questions%20&amp;amp;%20Posts</link>
      <itunes:summary>&lt;p&gt;...the essence of plane geometry is hidden within the following puzzle:&lt;br&gt;
Given is a closed curve C. It is assumed to be non-self-intersecting, convex, and continuously differentiable everywhere (a closed Jordan curve). Let line segment AB be a chord of this curve, having a fixed length l. A point P lies on this chord at a fixed distance a from A and b from B, such that l = a + b. An orientation (or direction of circulation) is now assigned to the curve. The chord is then moved continuously along the closed curve in this assigned direction of circulation. As it moves, point P traces out a so-called locus curve O, which&amp;mdash;upon completion of one full revolution of the chord&amp;mdash;also forms a closed curve lying entirely within C.&lt;br&gt;
The task is to calculate the area of ​​the region between C and O (i.e., the area lying inside C but outside O). Divide the result by the product of a and b, and then apply the &amp;quot;identify&amp;quot; function to the outcome.&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;...the essence of plane geometry is hidden within the following puzzle:&lt;br /&gt;
Given is a closed curve C. It is assumed to be non-self-intersecting, convex, and continuously differentiable everywhere (a closed Jordan curve). Let line segment AB be a chord of this curve, having a fixed length l. A point P lies on this chord at a fixed distance a from A and b from B, such that l = a + b. An orientation (or direction of circulation) is now assigned to the curve. The chord is then moved continuously along the closed curve in this assigned direction of circulation. As it moves, point P traces out a so-called locus curve O, which&amp;mdash;upon completion of one full revolution of the chord&amp;mdash;also forms a closed curve lying entirely within C.&lt;br /&gt;
The task is to calculate the area of ​​the region between C and O (i.e., the area lying inside C but outside O). Divide the result by the product of a and b, and then apply the &amp;quot;identify&amp;quot; function to the outcome.&lt;/p&gt;
</description>
      <guid>243597</guid>
      <pubDate>Sun, 17 May 2026 11:04:08 Z</pubDate>
      <itunes:author>Alfred_F</itunes:author>
      <author>Alfred_F</author>
    </item>
    <item>
      <title>twin and cousin prime numbers</title>
      <link>http://www.mapleprimes.com/posts/234832-Twin-And-Cousin-Prime-Numbers?ref=Feed:MaplePrimes:New%20Questions%20&amp;amp;%20Posts</link>
      <itunes:summary>&lt;p&gt;Hi again Maple community, and others,&lt;/p&gt;

&lt;p&gt;want to share&lt;br&gt;
&lt;a href="/view.aspx?sf=234832_post/tiwn_and_cousin_prime_numbers.mw"&gt;tiwn_and_cousin_prime_numbers.mw&lt;/a&gt;&lt;br&gt;
&lt;a href="/view.aspx?sf=234832_post/tiwn_and_cousin_prime_numbers.pdf"&gt;tiwn_and_cousin_prime_numbers.pdf&lt;/a&gt;&lt;br&gt;
(spelling error in file name)&lt;/p&gt;

&lt;p&gt;~&lt;/p&gt;

&lt;p&gt;just want to share,&lt;br&gt;
some successful code&lt;/p&gt;

&lt;p&gt;The lesser of the twin primes are listed&lt;br&gt;
{3,5,11,17,29,41,59,71}&lt;br&gt;
&lt;a href="https://oeis.org/A001359"&gt;https://oeis.org/A001359&lt;/a&gt;&lt;br&gt;
Prime numbers p such that p+2 is also a prime number&lt;/p&gt;

&lt;p&gt;also, the lesser of the cousin primes are listed&lt;br&gt;
{3,7,13,19,37,43,67,79,97}&lt;br&gt;
&lt;a href="https://oeis.org/A023200"&gt;https://oeis.org/A023200&lt;/a&gt;&lt;br&gt;
prime numbers p such that p+4 is also a prime number&lt;/p&gt;

&lt;p&gt;good fun&lt;/p&gt;

&lt;p&gt;also, my webpage has more details&lt;br&gt;
&lt;a href="https://mattanderson.fun"&gt;https://mattanderson.fun&lt;/a&gt;&lt;br&gt;
okay&lt;/p&gt;

&lt;p&gt;regards,&lt;br&gt;
Matt&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Hi again Maple community, and others,&lt;/p&gt;

&lt;p&gt;want to share&lt;br&gt;
&lt;a href="/view.aspx?sf=234832_post/tiwn_and_cousin_prime_numbers.mw"&gt;tiwn_and_cousin_prime_numbers.mw&lt;/a&gt;&lt;br&gt;
&lt;a href="/view.aspx?sf=234832_post/tiwn_and_cousin_prime_numbers.pdf"&gt;tiwn_and_cousin_prime_numbers.pdf&lt;/a&gt;&lt;br&gt;
(spelling error in file name)&lt;/p&gt;

&lt;p&gt;~&lt;/p&gt;

&lt;p&gt;just want to share,&lt;br&gt;
some successful code&lt;/p&gt;

&lt;p&gt;The lesser of the twin primes are listed&lt;br&gt;
{3,5,11,17,29,41,59,71}&lt;br&gt;
&lt;a href="https://oeis.org/A001359"&gt;https://oeis.org/A001359&lt;/a&gt;&lt;br&gt;
Prime numbers p such that p+2 is also a prime number&lt;/p&gt;

&lt;p&gt;also, the lesser of the cousin primes are listed&lt;br&gt;
{3,7,13,19,37,43,67,79,97}&lt;br&gt;
&lt;a href="https://oeis.org/A023200"&gt;https://oeis.org/A023200&lt;/a&gt;&lt;br&gt;
prime numbers p such that p+4 is also a prime number&lt;/p&gt;

&lt;p&gt;good fun&lt;/p&gt;

&lt;p&gt;also, my webpage has more details&lt;br&gt;
&lt;a href="https://mattanderson.fun"&gt;https://mattanderson.fun&lt;/a&gt;&lt;br&gt;
okay&lt;/p&gt;

&lt;p&gt;regards,&lt;br&gt;
Matt&lt;/p&gt;
</description>
      <guid>234832</guid>
      <pubDate>Sat, 16 May 2026 17:47:07 Z</pubDate>
      <itunes:author>Mister_Matthew_abc</itunes:author>
      <author>Mister_Matthew_abc</author>
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