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      Lebesgue and gaussian measure of unions of basic semi-algebraic sets

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          Abstract

          Given a finite Borel measure μ on R n and basic semi-algebraic sets Ω\_i R n , i = 1,. .. , p, we provide a systematic numerical scheme to approximate as closely as desired μ(\cup\_i Ω\_i), when all moments of μ are available (and finite). More precisely , we provide a hierarchy of semidefinite programs whose associated sequence of optimal values is monotone and converges to the desired value from above. The same methodology applied to the complement R n \ (\cup\_i Ω\_i) provides a monotone sequence that converges to the desired value from below. When μ is the Lebesgue measure we assume that Ω := \cup\_i Ω\_i is compact and contained in a known box B and in this case the complement is taken to be B \ Ω. In fact, not only μ(Ω) but also every finite vector of moments of μ\_Ω (the restriction of μ on Ω) can be approximated as closely as desired, and so permits to approximate the integral on Ω of any given polynomial.

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          A random polynomial-time algorithm for approximating the volume of convex bodies

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            GloptiPoly 3: moments, optimization and semidefinite programming

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              On the Complexity of Computing the Volume of a Polyhedron

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                Author and article information

                Journal
                2017-06-26
                Article
                1706.08253
                4a9f176f-fdc7-4b4b-ae70-93aff79d230f

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                math.OC
                ccsd

                Numerical methods
                Numerical methods

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