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Springer Interior Point Techniques in Optimization - Applied Optimization Vol 6

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Description

Interior Point Techniques in Optimization: Complementarity, Sensitivity and Algorithms is a comprehensive resource published by Springer that explores the advanced mathematical methods revolutionising operational research and programming. This volume examines how interior point methods have transformed the field over the past decade, enabling efficient and robust solutions to large-scale linear, nonlinear and combinatorial optimisation problems encountered in real-world applications. The book analyses the foundational principles of interior point methods and their influence across mathematical programming disciplines, including linear and nonlinear programming problem analysis and resolution, sensitivity analysis, complexity theory, Newton's method applications and decomposition techniques. Ideal for researchers, practitioners and students in operations research, applied mathematics and industrial engineering seeking deeper understanding of contemporary optimisation algorithms and their practical implementation.

Key Features

Covers interior point methods and their applications to linear, nonlinear and combinatorial optimisation problems in operational research.

Explores complementarity conditions, sensitivity analysis and algorithmic approaches fundamental to advanced mathematical programming.

Published by Springer as part of the Applied Optimization series, providing academic-level rigour and peer-reviewed content.

Examines how interior point techniques influence complexity analysis, Newton's method and decomposition strategies across mathematical programming.

Addresses practical solutions for large-scale optimisation challenges in various industrial and commercial applications.

Serves as a reference for researchers and professionals in operations research, applied mathematics and industrial engineering disciplines.

Product Specifications

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

Barcode

No barcode data available

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