2010-04-01
Error bounds for some semidefinite programming approaches to polynomial minimization on the hypercube
Publication
Publication
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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| Mathematical Programming Society | |
| Optimization Online | |
| Organisation | Networks and Optimization |
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de Klerk, E., & Laurent, M. (2010). Error bounds for some semidefinite programming approaches to polynomial minimization on the hypercube. Optimization Online. Mathematical Programming Society. |
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