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  <channel>
    <title>MaplePrimes - Maple Posts and Questions</title>
    <link>http://www.mapleprimes.com/tags/Maple</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Sat, 03 Oct 2026 16:39:22 GMT</lastBuildDate>
    <pubDate>Sat, 03 Oct 2026 16:39:22 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>Maple Questions and Posts on MaplePrimes</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - Maple Posts and Questions</title>
      <link>http://www.mapleprimes.com/tags/Maple</link>
    </image>
    <item>
      <title>How do I parallelize independent tasks?</title>
      <link>http://www.mapleprimes.com/questions/244797-How-Do-I-Parallelize-Independent-Tasks?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;I would like to have a list of sets and parallelize the same operation performed on each list. Any suggestions on how to do this? Thanks in advance.&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;I would like to have a list of sets and parallelize the same operation performed on each list. Any suggestions on how to do this? Thanks in advance.&lt;/p&gt;
</description>
      <guid>244797</guid>
      <pubDate>Sat, 03 Oct 2026 07:21:29 Z</pubDate>
      <itunes:author>wkehowski</itunes:author>
      <author>wkehowski</author>
    </item>
    <item>
      <title>Why does this AI prompt produce an error?</title>
      <link>http://www.mapleprimes.com/questions/244796-Why-Does-This-AI-Prompt-Produce-An-Error?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;Asking the small model (without including a worksheet)&lt;/p&gt;

&lt;pre class="prettyprint"&gt;
what does x || (a, b, c) := y =~ x ^~ (1, 2, 3)&lt;/pre&gt;

&lt;p&gt;throws this error&lt;/p&gt;

&lt;p&gt;&lt;img height="232" 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" width="353"&gt;&lt;/p&gt;

&lt;p&gt;Is that error message reproducible on other installations? Should be.&amp;nbsp;&lt;br&gt;
Warning: The same question to the large model ate up 100000 credits.&amp;nbsp;I added two more questions about operator precedence:&lt;img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPcAAAAfCAYAAAA7m1u8AAAGMElEQVR4Xu2bUU4cRxCGi1OAd88Almx8BbBk2CMEJ1LwQ+A9RPAEMn63/WAsWYEj7DpSzBXAtiBXyC6Ln3yDiapnq6mtrZmuGXYJmdT35G6qu6un66/unlnP/f3tewaO4zSOORe34zQTF7fjNBQXt+M0FBe34zQUF7fjNBQXt+M0FBe34zQUF7fjNBQXt+M0FBe34zSUey/uLLuE4+13MFjfg99WFxq6DI4zfSqJe/jpJRx8HMQykmUt6OzuwOrCXKybJlLcWTaE01f70IUO7P26Agtzsxn3PlJ37nXbzYps+AkOD7owKPAja60HP+evT012NB8Zn/Lvoe7yd9g6Ath8vQEPWf3F8S/w/nwOWmu75k0Ex9vvtSb6KgLtP8BPE/2jT9vvz1V/JeTn8s+v4flSsR1iEjcJ7AyeTEzk4vglDFf/XXGTf7D5Jjnh/zJ1RVq33V1jXUfNTgqtaM6auElcFsEQ1P/nR+kTJdn2BnryoPGRMh94UiyzI5LijsJ+8gLebizF+rtC7twaNOlWIiic+w3uSkeDdALS7IaXlwCLi2PttLiQ4iYbKIkvjbzdZ3icOLXSTksUiXvraADtdh/6rWKdhQT2BaDd75tiPSlumRHvGhf3/wNtN9aw2iFa7HBxL8Ff+cbVTicUSUgwUCxEhO/uOytQuNOTuDvrLej2Buo192YuHWj1uqb5l4o7Hm1KsgknZtRnV3Ag7hDynqXdL/jxJS/jfX4Nrg7GF4hn7uuTrbHMiGTLm9FfmTn53zRuM4ebRPgIvm6/g3OyG4050V74Iucf6oQNnzuOG8s/Anxgfcsdom47hAIrzkdZlxgr0IG3O6ujlnasm4jVDknt3HCyBUdnk1fNFFUSDMGFPvF8SdxKrBM3fuexZRm7XNwVjywkJBmQsh8taZBNnx3/eVDxoJOBqi4iC7Zoh/2dADxPiLvuHDDw8IVOli3HgInt2m3o99mdUHm2uICHV09vysrOI+ce/eVJSLlD1m1nXZfbiFubp4bVjtASAYmksz6Abg/UXTJF6PfL4/jcLNjEvQMPLw4nfWax9uYHMCcWk7gt53skBJDIhJoIQj2bED5cGXzRThGBtNX8pECwPATObeaQB9NkwOR9tvV6Zc4caaOWRd+av9NqR2jrUhcSHH/mGlY7BG0xUcmTCNWHfydOcRplIi2jrB2PoxXIvxCMxXJ41vn9fmU+v0pY4nr64haBUNQHr99YzB3WMrKWreU42hgxUPuToipD9o1o/Wv12k6BVKknv8eO5mx3lf7JMiHrU2Wt3fzoTmpdl7qEMRP3V6SKHZ5KpLCRmCB2H8AfNZJTvubpF2kSq7ixT7k2fN5VNq1ycVdcQOkUQgKgO50Ej4CzEDdBC41YMrXsG7HMYRriJl/LriCpMiHrU2Wt3V2Iu2ztOBY7ipUzKE7ofPefPz0M1yjLZyUiPB9DgpFUETdPIHInn5q4kaIg0NBsqyzKLMRNkE0/8WZU9o1Y+kekWKvUL41+sCHHkP6kytNsdyfiNh61U3ZR2In1lf2E+SpXJo0qwpJUEjedOlsvYG/h49j9vooPSXFTYFuOL1rAcEeLsl20UX5kgROXdyc5jlV88iFqyL4RyxwQi4iL6jVxa89F+ifLhKxPlbV283A9MT6hrUsdwniGnTBlF/5uePMtxR2TgvIDLUlYr4ov0ogq4uZ1+O0bWJupihuhhZSffhD+C7WigKH2Y29h0clXV/B0ZBvHYEdnEi0eh0vFPZow391DnXgzLttpFNlY5mARcVF9/ObK3kqjL/KNtvRPlglZnyoXtbOuC09E1rfl2rpppOxSf+fkohk/AVhOdWXitFDWPvdJiHs0J5l0qH5q4kbIOf6iB+GffWRgcChIOPKuw4MmlENQP4A/E8fyYMv6x0CkTwb0bTbUK8lJovVNpOZgEXFZvZw/CufZcL9UlLJMyPpUuagdIv3S1qWWuEf9Jk9cCTsKeL7WnLFPk4q4EVyL8BmzIEZyH6q/SCOqihsJ8TFcGzutzETcjsOpEmRNICS9kmvBfcTF7dSiaLdpIqmTw33Fxe2UgkdD+d8U6Xpy25dpzmxxcTulyPt2qJvx/+F3poOL23EaiovbcRrKP/NnD4qsC8AqAAAAAElFTkSuQmCC"&gt;&lt;/p&gt;

&lt;p&gt;Reminds me of playing pinball when I was young. Either it tilts or you run out of money pretty quickly ;-)&lt;/p&gt;

&lt;p&gt;Joking asside, any suggestions to improve my prompting to make the small model produce a correct answer?&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Asking the small model (without including a worksheet)&lt;/p&gt;

&lt;pre class="prettyprint"&gt;
what does x || (a, b, c) := y =~ x ^~ (1, 2, 3)&lt;/pre&gt;

&lt;p&gt;throws this error&lt;/p&gt;

&lt;p&gt;&lt;img height="232" src="data:image/png;base64,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" width="353" /&gt;&lt;/p&gt;

&lt;p&gt;Is that error message reproducible on other installations? Should be.&amp;nbsp;&lt;br /&gt;
Warning: The same question to the large model ate up 100000 credits.&amp;nbsp;I added two more questions about operator precedence:&lt;img src="data:image/png;base64,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" /&gt;&lt;/p&gt;

&lt;p&gt;Reminds me of playing pinball when I was young. Either it tilts or you run out of money pretty quickly ;-)&lt;/p&gt;

&lt;p&gt;Joking asside, any suggestions to improve my prompting to make the small model produce a correct answer?&lt;/p&gt;
</description>
      <guid>244796</guid>
      <pubDate>Fri, 02 Oct 2026 18:44:18 Z</pubDate>
      <itunes:author>C_R</itunes:author>
      <author>C_R</author>
    </item>
    <item>
      <title>How to model a bundle of planes &amp;quot;Cartesianly&amp;quot;?</title>
      <link>http://www.mapleprimes.com/questions/244794-How-To-Model-A-Bundle-Of-Planes-quot?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;A bundle of planes is here defined as the set of all planes in Cartesian (x, y, z)-space that intersect along the same straight line. This line is commonly referred to as the axis of the bundle. Is there an efficient method in Maple to model a bundle of planes in a simple, symbolic way?&lt;br&gt;
The background to my request for advice is the following problem (for those interested in the puzzle), dating back to 1965:&lt;br&gt;
Let a surface be given in Euclidean space. Suppose that every planar section of the surface is a circle, provided the section contains more than one point. Prove that the surface is a sphere.&lt;/p&gt;

&lt;p&gt;edited:&lt;/p&gt;

&lt;p&gt;Simple deductions are sufficient to solve the puzzle. Complex calculations are not necessary.&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;A bundle of planes is here defined as the set of all planes in Cartesian (x, y, z)-space that intersect along the same straight line. This line is commonly referred to as the axis of the bundle. Is there an efficient method in Maple to model a bundle of planes in a simple, symbolic way?&lt;br /&gt;
The background to my request for advice is the following problem (for those interested in the puzzle), dating back to 1965:&lt;br /&gt;
Let a surface be given in Euclidean space. Suppose that every planar section of the surface is a circle, provided the section contains more than one point. Prove that the surface is a sphere.&lt;/p&gt;

&lt;p&gt;edited:&lt;/p&gt;

&lt;p&gt;Simple deductions are sufficient to solve the puzzle. Complex calculations are not necessary.&lt;/p&gt;
</description>
      <guid>244794</guid>
      <pubDate>Thu, 01 Oct 2026 18:14:10 Z</pubDate>
      <itunes:author>Alfred_F</itunes:author>
      <author>Alfred_F</author>
    </item>
    <item>
      <title>How to solve system of high degree?</title>
      <link>http://www.mapleprimes.com/questions/244792-How-To-Solve-System-Of-High-Degree?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;how we can find the X1 and X2 in such system with high degree power&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=244792_question/aaaa.mw"&gt;aaaa.mw&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;how we can find the X1 and X2 in such system with high degree power&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=244792_question/aaaa.mw"&gt;aaaa.mw&lt;/a&gt;&lt;/p&gt;
</description>
      <guid>244792</guid>
      <pubDate>Wed, 30 Sep 2026 04:16:14 Z</pubDate>
      <itunes:author>salim-barzani</itunes:author>
      <author>salim-barzani</author>
    </item>
    <item>
      <title>Shortest path on a torus</title>
      <link>http://www.mapleprimes.com/questions/243792-Shortest-Path-On-A-Torus?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;A Blog Post reminded me of an old problem from my Mathcad-days:&lt;br&gt;
Given a torus and two points, P and Q, on its surface, calculate and graphically represent the shortest path from P to Q.&lt;/p&gt;

&lt;p&gt;edited:&lt;br&gt;
Can Mathcad worksheets (MC14) be converted into functional worksheets for Maple?&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;A Blog Post reminded me of an old problem from my Mathcad-days:&lt;br /&gt;
Given a torus and two points, P and Q, on its surface, calculate and graphically represent the shortest path from P to Q.&lt;/p&gt;

&lt;p&gt;edited:&lt;br /&gt;
Can Mathcad worksheets (MC14) be converted into functional worksheets for Maple?&lt;/p&gt;
</description>
      <guid>243792</guid>
      <pubDate>Mon, 28 Sep 2026 11:03:03 Z</pubDate>
      <itunes:author>Alfred_F</itunes:author>
      <author>Alfred_F</author>
    </item>
    <item>
      <title>Why did a moderator delete my question?</title>
      <link>http://www.mapleprimes.com/questions/243790-Why-Did-A-Moderator-Delete-My-Question?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;I&amp;#39;ve reported a Maple 2026 bug, that Maple becomed unresponsive, when using a Nvidia driver later than version 610. I described in detail, what happens and I described, that I can break down this issue to the release of the Nvidia driver.&lt;/p&gt;

&lt;p&gt;And now I get a message, that a moderator deleted my post as SPAM? Wow! Maple is considering SPAM, when a technical issue is reported? I am completely disappointed.&lt;/p&gt;

&lt;p&gt;deleted post:&lt;/p&gt;

&lt;p&gt;https://www.mapleprimes.com/questions/243789-Maple-Gets-Unresponsive-With-Nvidia?sp=243789&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;I&amp;#39;ve reported a Maple 2026 bug, that Maple becomed unresponsive, when using a Nvidia driver later than version 610. I described in detail, what happens and I described, that I can break down this issue to the release of the Nvidia driver.&lt;/p&gt;

&lt;p&gt;And now I get a message, that a moderator deleted my post as SPAM? Wow! Maple is considering SPAM, when a technical issue is reported? I am completely disappointed.&lt;/p&gt;

&lt;p&gt;deleted post:&lt;/p&gt;

&lt;p&gt;https://www.mapleprimes.com/questions/243789-Maple-Gets-Unresponsive-With-Nvidia?sp=243789&lt;/p&gt;
</description>
      <guid>243790</guid>
      <pubDate>Sun, 27 Sep 2026 20:00:26 Z</pubDate>
      <itunes:author>MGrabowski</itunes:author>
      <author>MGrabowski</author>
    </item>
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