trouble formulating problem

[dylan]

Hi All,

I am completely new to python/cvxopt, and convex optimization in general.  I am lucky to work in a field of physics where I really only ever have to solve one problem:

minimize (Trace(A*B_i)-v_i)^2

subject to Trace(A)=1,A>0 (matrix inequality)

The B_i's are hermitian matrices (user defined) and the v_i's are real scalars (also user defined).

I have been browsing the cvxopt website for a few days (and also browsing the docs for cvxpy, which have largely been of no help), so I thought I would ask here.

I'm sure there is a way to formulate this as a standard problem, but not really knowing much about convex optimization, I can't figure it out.

-dylan