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Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (Springerbriefs in Optimization)

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Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (Springerbriefs in Optimization) Cover

 

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Publisher Comments:

Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others. In this brief the authors discuss some important subclasses of polynomial optimization models arising from various applications, with a focus on approximations algorithms with guaranteed worst case performance analysis. The brief presents a clear view of the basic ideas underlying the design of such algorithms and the benefits are highlighted by illustrative examples showing the possible applications. This timely treatise will appeal to researchers and graduate students in the fields of optimization, computational mathematics, Operations Research, industrial engineering, and computer science.

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Table of Contents

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Product Details

ISBN:
9781461439837
Author:
Li, Zhening
Publisher:
Springer
Author:
Zhang, Shuzhong
Author:
He, Simai
Subject:
Applied
Subject:
approximation algorithm
Subject:
approximation ratio
Subject:
binary integer programming
Subject:
mixed-integer programming
Subject:
Nonlinear programming
Subject:
polynomial optimization problem
Subject:
OPTIMIZATION
Subject:
Mathematical Modeling and Industrial Mathematics
Subject:
Algorithms
Subject:
APPLICATIONS OF MATHEMATICS
Subject:
Mathematics-Applied
Copyright:
Edition Description:
2012
Series:
SpringerBriefs in Optimization
Publication Date:
20120701
Binding:
TRADE PAPER
Language:
English
Pages:
132
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Software Engineering » Algorithms
Health and Self-Help » Psychology » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Numeric Analysis

Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (Springerbriefs in Optimization) Used Trade Paper
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