What did I do wrong, or why does Maple 11's cumulative distribution function (cdf) for Statistics:-GammaDistribution differ from what theory suggests? http://www.mapleprimes.com/files/7371_GAMMA_CDF.mw Thanks heaps.

Good Day,

Please assist with helping me in figuring out how to input math problems into Maple12. I am enrolled in MA 141 and my deadline to finish the course is June 1st. This class is very confusing and I would really appreciate if someone can assist me. thanks in advance.

One of my problems are: Find the absolute value of the complex number: z=9-5i

I have no idea how to input that into the software to get the answer...

Hi there,

I need to differentiate a summation like

sum(sum(u[i,j]^2*d[i,j]^2,j = 1 .. N),i = 1 .. c)

in relation to an arbitrary element, say u[s,t].

I usually get 0, whereas the expected response is

2*u[s,t]*d[s,t]^2.

Does anyone know if this is possible in Maple?

Thanks,

Antônio.

 

Hi there! I am discovering the Physics:-Vectors Package a bit, and as an example i wanted to calculae the Tensor of moments of inertia I, for a continuous mass disribution. Maple Help contains an Example-Worksheet on the Physics:-Vectors Package, that also contains calculating some Inertia-Tensor I, but for a discrete mass distribution. The formular there is entered as follows: > restart; with(Physics, KroneckerDelta): with(Physics:-Vectors): Setup(mathematicalnotation = true);

program a procedure repeatedEls which takes a list and returns the sublist consisting of all elements that appeared more than once in the given list.

repeatedEls([a,b,c,d,c,d,e,f,a]);

[a,b,c]

i need to write a procedure for two sets whose final output is their intersection.

 

help!

I have a set of partial differential equations and one unknown function f(u,v) which must contain u*Heaviside(u) and v*Heaviside(v) multiplications. Heaviside(u) is the Heaviside step function for the parameter u and it is already defined in Maple.

The solution should come in terms of these multiplications, that is, u or v, or Heaviside(u) or Heaviside(v) cannot occur alone.

I tried a solution of the form,

I want to graph nonlinear inequalities in two variables, but  Inequal works only for linear inequalities.  How to proceed?

Alla

i've a problem to understanding the concept of generating random number by using modulo. The basic modulo , let say a:= e mod m and i want to extend it to

x ₀ = given,     x _n+1 = P ₁ x _n + P ₂       (mod N)    n = 0,1,2,...     (*)

But then how to implement that modulo to generate the random generator? and my latpop just 32 bits only. anybody would help me??

okay i need to write a procedure (call it setDiff) that takes two sets and returns the set of elements in the first list that DO NOT appear in the second.

for example.

setDiff({1,2,3,4,5},{2,4,6,8});

would return

{1,3,5}

 

so stuck. please help!!

I have 4 matrixes such as  P, P1, P2,P3

what can i do paint four 3D-lines  in one plot with points in the 4 matrixs?

 P := Matrix(51, 3);

R := proc (s) options operator, arrow; 0.6e-1*(arctan(10*s/1.3-3.0)/Pi+1/2) end proc;

y := proc (s) options operator, arrow; evalf((-1)*0.6e-1*(arctan(10*s/1.3-3.0)/Pi+1/2)*cos(6*Pi*s/1.3)) end proc;

z := proc (s) options operator, arrow; evalf(0.6e-1*(arctan(10*s/1.3-3.0)/Pi+1/2)*sin(6*Pi*s/1.3)) end proc

for i to 51 do

hi

i have a directed graph and i have to find all possible ways from a Node to another. with which command can maple calculate all possibel ways?

 

i just found only a command for minimal spannin tree, but my edges are not weighted.

Greetings All

I've had help creating some commands in mathematica 6 but prefer to use maple 11 (because maple just seems easier for me to use)  Does anyone know how I can convert mathematica 6 commands to maple 11 commands.  The following commands are below and an example of the ouput I'm trying to get with maple 11.

Mathematica 6 code

Input commands:

data ={{0,0},{.5,-1},{1,0},{2,2},{3,0},{4,-2.750000000},{5,-4},{6,-2.750000000},{7,0},

{8,2.937500000},{9,5.500000000},{10,7.312500000},{11,8},{12,7.312500000},

{13,5.5},{14,2.937500000},{15,0},{16,-2.918367347},{17,-5.346938775},

{18,-6.795918367},{18.5,-7},{19,-6.795918368},{20,-5.346938776},

{21,-2.918367347},{22,0},{23,2.84},{24,4.72},{24.5,5},{25,4.72},{26,2.84},{27,0}};

f = Interpolation[data, PeriodicInterpolation -> True];

<< "FourierSeries`"

s[x_] = N[
  FourierTrigSeries[f[x], x, 31, FourierParameters -> {-1, 1/27}]]

discr = Interpolation[data /. {x_, y_} -> {x, y},
   InterpolationOrder -> 0];

g[x_] = Piecewise[{{discr[x], 0 < x < 27}, {0, True}}];

Show[Plot[s[x], {x, 0, 27}, PlotStyle -> Red, PlotRange -> {-9, 10}],
 Plot[g[x], {x, 0, 27}, Filling -> Axis],
 ListPlot[data, Filling -> Axis, PlotRange -> {0, 27}]]

 

Output:

0.61887- 0.680232 Cos[0.232711 x] + 2.96293 Cos[0.465421 x] -
 0.532024 Cos[0.698132 x] - 0.87105 Cos[0.930842 x] -
 0.708467 Cos[1.16355 x] - 0.510603 Cos[1.39626 x] -
 0.236222 Cos[1.62897 x] - 0.112403 Cos[1.86168 x] -
 0.0682778 Cos[2.0944 x] - 0.0317201 Cos[2.32711 x] -
 0.00399665 Cos[2.55982 x] + 0.0110171 Cos[2.79253 x] +
 0.0150056 Cos[3.02524 x] + 0.0156793 Cos[3.25795 x] +
 0.0122262 Cos[3.49066 x] + 0.00657111 Cos[3.72337 x] +
 0.00432201 Cos[3.95608 x] + 0.00341808 Cos[4.18879 x] +
 0.00370543 Cos[4.4215 x] + 0.00333083 Cos[4.65421 x] +
 0.00210063 Cos[4.88692 x] + 0.00505182 Cos[5.11963 x] +
 0.00866377 Cos[5.35234 x] + 0.0110508 Cos[5.58505 x] +
 0.0103873 Cos[5.81776 x] + 0.00850073 Cos[6.05047 x] +
 0.00811838 Cos[6.28319 x] + 0.00689916 Cos[6.5159 x] +
 0.0069005 Cos[6.74861 x] + 0.00596679 Cos[6.98132 x] +
 0.00358397 Cos[7.21403 x] + 2.25013 Sin[0.232711 x] -
 4.51511 Sin[0.465421 x] + 0.380184 Sin[0.698132 x] +
 0.461366 Sin[0.930842 x] + 0.0632479 Sin[1.16355 x] -
 0.135095 Sin[1.39626 x] - 0.160692 Sin[1.62897 x] -
 0.131694 Sin[1.86168 x] - 0.118779 Sin[2.0944 x] -
 0.0966167 Sin[2.32711 x] - 0.0797548 Sin[2.55982 x] -
 0.0599806 Sin[2.79253 x] - 0.0380326 Sin[3.02524 x] -
 0.0247422 Sin[3.25795 x] - 0.0141664 Sin[3.49066 x] -
 0.0078713 Sin[3.72337 x] - 0.0060369 Sin[3.95608 x] -
 0.0062354 Sin[4.18879 x] - 0.00650479 Sin[4.4215 x] -
 0.00560183 Sin[4.65421 x] - 0.00806245 Sin[4.88692 x] -
 0.00982397 Sin[5.11963 x] - 0.00853789 Sin[5.35234 x] -
 0.00582364 Sin[5.58505 x] - 0.00249366 Sin[5.81776 x] -
 0.00125506 Sin[6.05047 x] - 0.0000310571 Sin[6.28319 x] +
 0.000971067 Sin[6.5159 x] + 0.00160663 Sin[6.74861 x] +
 0.00321022 Sin[6.98132 x] + 0.00388205 Sin[7.21403 x]

 

tia sal2

Sorry if I posted in the wrong spot.

I have an old laptop I'm giving to my daughter to play around on and I'm installing Maple V version 3 on it.  Yes, laugh it's a 486 DX4 toshiba laptop, but I got it for free and I don't mind if the kids play around with it. 

I had Maple V version 3 so I installed it on the laptop.  I don't think any of the newer versions above ver.5 would work with a 486, maybe version 6 but I have 5 so I'm using that.

Hello, guys.

I'm having this assignment in one of my school subjects, but I just can't get it right:

"Program Cauchy's problem for the heat conduction equation on the circle S = {x mod 2*Pi}

u_t = u_xx , u(0, x) = Phi(x), t > 0, x belongs to S

in Fourier series. Illustrate the solution using 2Dplot."