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Interior Point Techniques in Optimization

Complementarity, Sensitivity and Algorithms

  • Book
  • © 1997

Overview

Part of the book series: Applied Optimization (APOP, volume 6)

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Table of contents (11 chapters)

Keywords

About this book

Operations research and mathematical programming would not be as advanced today without the many advances in interior point methods during the last decade. These methods can now solve very efficiently and robustly large scale linear, nonlinear and combinatorial optimization problems that arise in various practical applications. The main ideas underlying interior point methods have influenced virtually all areas of mathematical programming including: analyzing and solving linear and nonlinear programming problems, sensitivity analysis, complexity analysis, the analysis of Newton's method, decomposition methods, polynomial approximation for combinatorial problems etc. This book covers the implications of interior techniques for the entire field of mathematical programming, bringing together many results in a uniform and coherent way. For the topics mentioned above the book provides theoretical as well as computational results, explains the intuition behind the main ideas, gives examples as well as proofs, and contains an extensive up-to-date bibliography.
Audience: The book is intended for students, researchers and practitioners with a background in operations research, mathematics, mathematical programming, or statistics.

Authors and Affiliations

  • Centre for Quantitative Methods CQM B.V., Eindhoven, The Netherlands

    Benjamin Jansen

Bibliographic Information

  • Book Title: Interior Point Techniques in Optimization

  • Book Subtitle: Complementarity, Sensitivity and Algorithms

  • Authors: Benjamin Jansen

  • Series Title: Applied Optimization

  • DOI: https://doi.org/10.1007/978-1-4757-5561-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1997

  • Hardcover ISBN: 978-0-7923-4430-8Published: 31 January 1997

  • Softcover ISBN: 978-1-4419-4772-7Published: 03 December 2010

  • eBook ISBN: 978-1-4757-5561-9Published: 14 March 2013

  • Series ISSN: 1384-6485

  • Edition Number: 1

  • Number of Pages: XIV, 280

  • Topics: Optimization, Operations Research/Decision Theory, Theory of Computation, Statistics, general

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