description: [X,err]=GNS(V,M,vars,tol,rank_bound) prepares a matrix X for the AWbd function by performing the Gelfand-Naimark-Segal construction. arguments: V - cell of all monomials of degree up to d M - a flat square matrix vars - cell of variables tol - tolerance for computing the rank of a matrix rank_bound - optional upper bound for the rank of a matrix output: X - a matrix where each of its rows represents a square matrix err - if it equals 0 means that program ended with success otherwise the procedure failed possible usage: GNS(V,M,vars), GNS(V,M,vars,tol), GNS(V,M,vars,tol,rank_bound) see also: |
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