How I can make minimization of the following function using (PSO) algorithm.​..min(norm​(Ax-b),2) with A is 13*52 matrix and b is 13*1 vector???

minimization of function using PSO

    function y = costfun(v)
    load gh.mat
    load ww.mat
    % gh repesents A
    % ww repesents b
    % v repesents x
    y=norm(gh*v-ww,2);
    end

Answer 1

[Matt J]

See

https://www.mathworks.com/matlabcentral/answers/376295-how-to-get-the-solution-of-ax-b-using-conjugate-gradient-with-a-non-square#comment_522967