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I have a matrix with 3 columns of datapoints (as seen in attached file).

I use pointplot3d to create the below picture but how can I get a 2d contourplot of the data ?

Fourier Coefficients...

March 31 2009 Nusc 499



if my Fourier coefficient b_n := 4/(n*pi) which is only true for n odd, how do I program this in Maple?



   If[Mod[2, n],

      c = b_n Sin[n w_0 x]




That was my attempt, it's wrong of course. What do I need to add/change?





How does one enter (and evaluate the following expression) in Maple

d/dt [ del(L)/del(xdot) ] = del(L) /del(x)

where "del" stands for the partial differential sign and "xdot" is the
simple derivative of x wrt t?

For example, I have L = 0.5*m*xdot^2 - mgx


Note that I understand f:=(x,xdot) -> 0.5.m.xdot^2 - m.g.x, but can't seem to make Maple realize that xdot = d/dt(x) within the partial derivative del(L)/del(xdot)

Recently i encouter a problem in Maple 12 that i had not with Maple 10...

More specific:



with Maple 12 i get:

minimize(exp(1/x)+x^3,x = .5 .. 2)

while in Maple 10 i got the answer..

The g(x) has clearly a minimum in that range of x..

I was forced to take the first derivative and find the roots...

Please can anyone explain me why this happen??



How can I graph this in Maple and create an adjacency list.

I would really appreciate any reply back

Take careView on MapleNet or Download
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I've recently updated to Maple 12 (on Mac OS X.4.11) and am still learning how to use it. A search on Maple FAQs didn't turn up any answers to the following questions.
I can find the Smith Normal and Jordan Canonical form of square matrices but as part of our assignment, we have to find the Smith Normal form, Jordan Canonical, and Rational Canonical of a 7 by 8 matrix (all whole numbers).  Is it possible to do this with Maple?  I only get error messages...  Thanks!
So here's my problem: Find a continuous solution to the integral equation: f(x) = (1/2)*[integral_[0,1](x*y/(y+1))*f(y)dy + x^3] by finding a fixed point of the fucntion psi:(C([0,1]),d_inf) --> (C[0,1]),d_inf) psi(f(x)) = (1/2)*[integral_[0,1](x*y/(y+1))*f(y)dy + x^3] . Here, C([0,1]) is the set of all continuous functions over [0,1] and d_inf is the supremum metric. I honestly have no idea how to do this. My professor said this... A fixed point for the map psi is a solution of the integral equation.

 dear all:

   i have wirte a programme for a defined function as follows:

  med := proc (f1, f2, f3) if f3 <= f1 and f2 <= f1 then if f3 <= f2 then f2 else f3 end if elif f3 <= f2 and f1 <= f2 then if f3 <= f1 then f1 else f3 end if elif f1 <= f3 and f2 <= f3 then if f2 <= f1 then f1 else f2 end if end if end proc

#the med function is for get the mediume number from any givend three numbers.#

<p>I'm a new Maple user. I'm trying to do something like this:</p>
<p><img src="file:///C:/DOCUME~1/mike/LOCALS~1/Temp/moz-screenshot.jpg" alt="" /><img src="file:///C:/DOCUME~1/mike/LOCALS~1/Temp/moz-screenshot-1.jpg" alt="" /><img src="file:///C:/DOCUME~1/mike/LOCALS~1/Temp/moz-screenshot-2.jpg" alt="" /><img src="file:///C:/DOCUME~1/mike/LOCALS~1/Temp/moz-screenshot-3.jpg" alt="" /><img src="file:///C:/DOCUME~1/mike/LOCALS~1/Temp/moz-screenshot-4.jpg" alt="" />assume(n,'integer'):series(x^n*exp(x),x);</p>


I am posting it again. I need the plot of W(i+1/2)=1/2*(W(i)+W(i+1))+1/2*sqrt(sagma*t)*g(i)    where g(i) is an independent N(0,1) sample. Please some one help. i have attached a file of the plot which I need.

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How to write expression with customized physical units in maple 12.

For example I want to how write the volume units in microliters.




I am trying this evalm example (from the help page of evalm, Maple 12):


alias(Id = `&*`());

# Simplification of matrix operations

evalm((`&*`(`&*`(A, B), 2))*B-`&*`(B, Id));


Error, (in evalm/amperstar) &* is reserved for matrix multiplication

A and B are not defined as Matrix in the help page. Is it the problem?



So given characteristic polynomial of a 2X2 Matrix of char (A,x) = (x-1) how do I find all possibilities for the Jordan and rational canonical forms?

Thank you!

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