Random Walk Matrix Optimisation

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Does any one know how to perform a random walk method of optimization with matrices in MATLAB?
I have an initial matrix Q, an eigenvalue matrix L and an eigen vector V such that R=VLV'. From these I need to solve the following problem:
minimize : |Q-R| (wrt to L) such that 1. Tr(L)=a (a some constant) 2. Det(L)>0 3. R (which is VLV') is Positive semidefinite (or eig®>=0)
If anyone has any clue how I can go about solving this please let me know.
Thanks, Stefan.

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Torsten
Torsten 2015-7-23
help fmincon
Best wishes
Torsten.
  2 个评论
Stefan Cutajar
Stefan Cutajar 2015-7-23
Thanks Torsten for your reply.
I have been trying to figure out how to apply fmincon to matrix optimisation but it doesn't seem to be feasible could you please elaborate how I could insert matrices as variables, constraints etc?
Torsten
Torsten 2015-7-23
You will have to break everything down to the level of the matrix entries (which are scalars).
Best wishes
Torsten.

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