Semidefinite Optimization and Convex Algebraic Geometry: 13 (MPS-SIAM Series on Optimization, Series Number 13) - Image 1

£129.99

Society for Industrial and Applied Mathematics (SIAM) Semidefinite Optimization and Convex Algebraic Geometry: 13 (MPS-SIAM Series on Optimization, Series Number 13)

Name: Semidefinite Optimization and Convex Algebraic Geometry: 13 (MPS-SIAM Series on Optimization, Series Number 13)
Brand: Society for Industrial and Applied Mathematics (SIAM)
Price: 129.99 GBP
Availability: InStock

Higher Education

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Description

This book provides a self-contained, accessible introduction to the mathematical advances and challenges resulting from the use of semidefinite programming in polynomial optimization. This important and highly applicable research area, with contributions from convex geometry, algebraic geometry and optimization, is known as convex algebraic geometry. Each chapter addresses a fundamental aspect of the topic, beginning with an introduction to nonnegative polynomials and sums of squares, and their connections to semidefinite programming. The material quickly advances to areas at the forefront of current research, including semidefinite representability of convex sets, duality theory in algebraic geometry, and nontraditional topics such as sums of squares of complex forms. The book is a suitable entry point to the subject for readers at the graduate level or above in mathematics, engineering or computer science. Instructors will find the book appropriate for a class or seminar, and researchers will encounter open problems and new research directions.

Product Specifications

Brand: Society for Industrial and Applied Mathematics (SIAM)
Format: paperback
ASIN: 1611972280
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 21 March 2013
Listed Since: 27 December 2012

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Society for Industrial and Applied Mathematics (SIAM) Semidefinite Optimization and Convex Algebraic Geometry: 13 (MPS-SIAM Series on Optimization, Series Number 13)

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