non negative least squares minimsation of a complex matrix

Hello all

I would like to minimise Ax-b

where A and b are a complex matrix and vector respectively.

I would like to constrain the answer to have x>=0 (i.e. positive or zero and real).

the function lsqnonneg(A,b) does what I want but only for real matrices and vectors.

I would really appreciate any suggestions.

Thanks Graham

[Graham Ryan]

OK so I've solved it now; the answer is simple:

x = lsqnonneg([real(A);imag(A)],[real(b);imag(b)]);

i.e. double the no. of rows of the matrix and vector by tacking the absolute imaginary values beneath the real values of the matrix and vector and solving this purely real problem with lsqnonneg. I got the solution from a Maths professor

[Paola]

Sorry, can b be a matrix as well?