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Springer Interior Point Techniques in Optimization - Vol 6

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Description

Master the advanced mathematical programming techniques that drive modern operations research. This volume from the Applied Optimization series explores the significant developments in interior point methods that have transformed the field over the last decade. These methods provide the ability to solve large scale linear, nonlinear, and combinatorial optimization problems with high efficiency and robustness. By studying these techniques, readers gain insight into how they are applied to practical real-world scenarios across various industries. The content covers the fundamental ideas that influence many areas of mathematical programming. You will find detailed information regarding the analysis and solution of linear and nonlinear programming problems, sensitivity analysis, and complexity analysis. Additionally, the text examines the analysis of Newton's method and decomposition techniques, making it a vital resource for those working in mathematical programming and optimization.

Key Features

Covers efficient and robust solutions for large scale linear, nonlinear, and combinatorial optimization problems.

Explores the impact of interior point methods on various practical applications in operations research.

Provides detailed analysis of linear and nonlinear programming problems and sensitivity analysis.

Includes technical examination of complexity analysis and the analysis of Newton's method.

Part of the Applied Optimization series, specifically volume 6, published by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 December 2010
Listed Since
06 July 2010

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