Integration and Optimization of Multivariate Polynomials by Restriction onto a Random Subspace

dc.creatorBarvinok, Alexander
dc.date2005-02-14
dc.date.accessioned2026-07-07T05:17:00Z
dc.date.available2026-07-07T05:17:00Z
dc.descriptionWe consider the problem of efficient integration of an n-variate polynomial with respect to the Gaussian measure in R^n and related problems of complex integration and optimization of a polynomial on the unit sphere. We identify a class of n-variate polynomials f for which the integral of any positive integer power f^p over the whole space is well-approximated by a properly scaled integral over a random subspace of dimension O(log n). Consequently, the maximum of f on the unit sphere is well-approximated by a properly scaled maximum on the unit sphere in a random subspace of dimension O(log n). We discuss connections with problems of combinatorial counting and applications to efficient approximation of a hafnian of a positive matrix.
dc.description15 pages
dc.identifierhttps://arxiv.org/abs/math/0502298
dc.identifierhttp://arxiv.org/abs/math/0502298
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/74199
dc.subjectOptimization and Control
dc.subjectCombinatorics
dc.subject68W20, 68W25, 60D05, 90C26
dc.titleIntegration and Optimization of Multivariate Polynomials by Restriction onto a Random Subspace
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