Solving linear equations with large times
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I am new to using matlab. I have a simple linear equation of Ax=B in loops;
where A is a complex matrix (1000x1000), and A will be changed with the parameters f, delta_p and delta_dopp in my code, i.e. A=A(f, delta_p, delta_dopp); B is a simple invariant column matrix (1000x1).
Cause I need to solve the linear equation almost about ~10^6 times. And matirx A is changing inside the loops (f, delta_p, delta_dopp are cycle indicators). When I using x=A\B solving the eqution, it should take me a lot of time. For example, it takes me one hour running 5e4 times.
I hope that someone can suggest a faster and better method? (Especially for the x=A\B method).
This is distribution of matrix A:

Thanks a lot!
6 Comments
KSSV
on 18 Feb 2022
Have you checked the time taken by one step?
KSSV
on 18 Feb 2022
If you have GPU, you may try running on that. Read about gpuArray.
KSSV
on 18 Feb 2022
Yes it should be supported. You may check it here: https://in.mathworks.com/help/matlab/referencelist.html?type=function&capability=gpuarrays
剑豪 戴
on 18 Feb 2022
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