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Springer Interior Point Techniques in Optimization - Vol 6

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Description

Explore the advanced mathematical foundations of modern operations research with Interior Point Techniques in Optimization. This volume, part of the Applied Optimization series, examines the methods that have transformed mathematical programming over the last decade. These techniques allow for the efficient and robust solution of large scale linear, nonlinear, and combinatorial optimization problems found in practical applications. This text covers the core concepts that influence various sectors of mathematical programming. Readers will find detailed information on analyzing and solving linear and nonlinear programming problems, as well as sensitivity analysis and complexity analysis. The content also addresses the analysis of Newton's method and decomposition techniques. Whether you are studying mathematical programming or working in operational research, this book provides the necessary background on the interior point methods that drive today's computational advancements.

Key Features

Covers advanced interior point methods used to solve large scale linear, nonlinear, and combinatorial optimization problems.

Provides detailed insights into mathematical programming including sensitivity and complexity analysis.

Explores the application of Newton's method and decomposition within optimization frameworks.

Serves as a technical resource for operations research and mathematical programming professionals.

Part of the Applied Optimization series (Volume 6) published by Springer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 1997
Listed Since
15 January 2007

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