Why Polyhedra Matter in Non-Linear Equation Solving

Fuente: arXiv
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Autore principale: Rojas, J. Maurice
Natura: Preprint
Pubblicazione: 2002
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author Rojas, J. Maurice
author_facet Rojas, J. Maurice
contents We give an elementary introduction to some recent polyhedral techniques for understanding and solving systems of multivariate polynomial equations. We provide numerous concrete examples and illustrations, and assume no background in algebraic geometry or convex geometry. Highlights include the following: (1) A completely self-contained proof of an extension of Bernstein's Theorem. Our extension relates volumes of polytopes with the number of connected components of the complex zero set of a polynomial system, and allows any number of polynomials and/or variables. (2) A near optimal complexity bound for computing mixed area -- a quantity intimately related to counting complex roots in the plane.
format Preprint
id arxiv_https___arxiv_org_abs_math_0212309
institution arXiv
publishDate 2002
record_format arxiv
spellingShingle Why Polyhedra Matter in Non-Linear Equation Solving
Rojas, J. Maurice
Algebraic Geometry
Numerical Analysis
We give an elementary introduction to some recent polyhedral techniques for understanding and solving systems of multivariate polynomial equations. We provide numerous concrete examples and illustrations, and assume no background in algebraic geometry or convex geometry. Highlights include the following: (1) A completely self-contained proof of an extension of Bernstein's Theorem. Our extension relates volumes of polytopes with the number of connected components of the complex zero set of a polynomial system, and allows any number of polynomials and/or variables. (2) A near optimal complexity bound for computing mixed area -- a quantity intimately related to counting complex roots in the plane.
title Why Polyhedra Matter in Non-Linear Equation Solving
topic Algebraic Geometry
Numerical Analysis
url https://arxiv.org/abs/math/0212309