We consider the problem of minimizing a polynomial on the hypercube [0, 1]n and derive new error bounds for the hierarchy of semidefinite programming approximations to this problem corresponding to the Positivstellensatz of Schmu ̈dgen [26]. The main tool we employ is Bernstein approximations of polynomials, which also gives constructive proofs and degree bounds for positivity certificates on the hypercube.
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S.I.A.M.
SIAM Journal on Optimization
Networks and Optimization

de Klerk, E., & Laurent, M. (2010). Error bounds for some semidefinite programming approaches to polynomial minimization on the hypercube. SIAM Journal on Optimization, 20(6), 3104–3120.