Bound-Constrained Polynomial Optimization Using Only Elementary Calculations

Etienne de Klerk, J.B. Lasserre, Monique Laurent, Zhao Sun

Research output: Working paperOther research output


We provide a monotone non increasing sequence of upper bounds fHk (k≥1) converging to the global minimum of a polynomial f on simple sets like the unit hypercube. The novelty with respect to the converging sequence of upper bounds in [J.B. Lasserre, A new look at nonnegativity on closed sets and polynomial optimization, SIAM J. Optim. 21, pp. 864--885, 2010] is that only elementary computations are required. For optimization over the hypercube, we show that the new bounds fHk have a rate of convergence in O(1/k√). Moreover we show a stronger convergence rate in O(1/k) for quadratic polynomials and more generally for polynomials having a rational minimizer in the hypercube. In comparison, evaluation of all rational grid points with denominator k produces bounds with a rate of convergence in O(1/k2), but at the cost of O(kn) function evaluations, while the new bound fHk needs only O(nk) elementary calculations.
Original languageEnglish
Place of PublicationIthaca
PublisherCornell University Library
Number of pages23
Publication statusPublished - 15 Jul 2015

Publication series



  • polynomial optimization
  • bound-constrained optimization
  • Lasserre hierarchy


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