description: [X,fX,eig_val,eig_vec]=NCeigOpt(f,S,d) computes minimizers and the minimum of the polynomial f on D_S.
arguments: f is an NCpoly representing a polynomial
S is a set of nc polynomails defining D_S d is a starting degree for the hierarchy (even number) output: X: from GNS - a matrix where each of its rows represents a square matrix
fX: f(X) where X is from GNS eig_val: eigenvalues of fX eig_vec: corresponding eigenvectors possible usage: NCeigOpt(f,S,d)
|
Documentation >