Genericity In Polynomial Optimization (Hardcover)

In full generality, minimizing a polynomial function over a closed semi-algebraic set requires complex mathematical equations. This book explains recent developments from singularity theory and semi-algebraic geometry for studying polynomial optimization problems. Classes of generic problems are defined in a simple and elegant manner by using only the two basic (and relatively simple) notions of Newton polyhedron and non-degeneracy conditions associated with a given polynomial optimization problem. These conditions are well known in singularity theory, however, they are rarely considered within the optimization community.Explanations focus on critical points and tangencies of polynomial optimization, Hoelderian error bounds for polynomial systems, Frank-Wolfe-type theorem for polynomial programs and well-posedness in polynomial optimization. It then goes on to look at optimization for the different types of polynomials. Through this text graduate students, PhD students and researchers of mathematics will be provided with the knowledge necessary to use semi-algebraic geometry in optimization.

General

Imprint:	World Scientific Europe Ltd
Country of origin:	United Kingdom
Series:	Series On Optimization And Its Applications, 3
Release date:	February 2017
Authors:	Tien Son Pham • Ha Huy Vui
Dimensions:	157 x 234 x 20mm (L x W x T)
Format:	Hardcover
Pages:	260
ISBN-13:	978-1-78634-221-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Books > Science & Mathematics > Mathematics > Optimization > General Promotions
LSN:	1-78634-221-9
Barcode:	9781786342218

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