How to accelerate matrix calculation with matlab?

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I have 40800 linear sparse equations that have the following forms:
F(1)=2*x(1)+x(2)-10;
F(2)=x(9)+3*x(10)-7;......
F(40800)=x(40200)-x(1)+....-10;
I want to convert these equations to matrices by evaluating them at the columns of speye(N);
N=40200; %the number of variables
E=speye(N,N+1);
columns=cell(1,N);
beq=-evaluate_equations(E(:,N+1));
for i=1:N
columns{i}=evaluate_equations(E(:,i))+ beq;
end
Aeq=cell2mat(columns);
full(Aeq),
full(beq),
function F=evaluate_equations(x)
F(1)=2*x(1)+x(2)-10;
F(2)=x(9)+3*x(10)-7;......
F(40800)=x(40200)-x(1)+....-10;
F=F(:); %column vector
But Matlab is very slow. It can not build the matrices. However i use 8 workers to accelerate the computing. Have you an idea to overcome this problem? Thanks.

Answers (1)

Walter Roberson
Walter Roberson on 7 Jan 2014
If they are sparse linear equations, could you not code them as a matrix multiplication in the first place? If you did that you could also skip the "for i" loop and do it as a single matrix multiplication.
  4 Comments
imed NASRI
imed NASRI on 8 Jan 2014
Edited: imed NASRI on 8 Jan 2014
I generate my equations using a matlab code. Equations are generated in a text file using fprintf. Then i copy them into an other m file to generate the desired matrices Aeq and beq into an other text file(the code that I have posted above)
imed NASRI
imed NASRI on 8 Jan 2014
Edited: imed NASRI on 8 Jan 2014
Aeq and beq are unknown. I have to generate them from equations:
F(1)=2*x(1)+x(2)-10;
F(2)=x(9)+3*x(10)-7;......
F(40800)=x(40200)-x(1)+....-10;
such that we have the following matrix form:
Aeq*x=beq
So, I would like to get my generated matrice Aeq and beq and save them to a text file because i will call them after in the ga() solver

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