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Synopsis

The first comprehensive review of the theory and practice of one oftoday's most powerful optimization techniques.

The explosive growth of research into and development of interiorpoint algorithms over the past two decades has significantlyimproved the complexity of linear programming and yielded some oftoday's most sophisticated computing techniques. This book offers acomprehensive and thorough treatment of the theory, analysis, andimplementation of this powerful computational tool.

Interior Point Algorithms provides detailed coverage of all basicand advanced aspects of the subject. Beginning with an overview offundamental mathematical procedures, Professor Yinyu Ye movesswiftly on to in-depth explorations of numerous computationalproblems and the algorithms that have been developed to solve them.An indispensable text/reference for students and researchers inapplied mathematics, computer science, operations research,management science, and engineering, Interior Point Algorithms:
* Derives various complexity results for linear and convexprogramming
* Emphasizes interior point geometry and potential theory
* Covers state-of-the-art results for extension, implementation,and other cutting-edge computational techniques
* Explores the hottest new research topics, including nonlinearprogramming and nonconvex optimization.

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From the Publisher

This book describes the theory and analysis of interior-point algorithms, and explosive research development during the last ten years. It derives complexity results for linear and convex programming. Written in a style to motivate the reader, it provides state-of-the-art results which invoke computational techniques such as Matlab commands or generic algorithms. Contains future research topics for fractional programming and nonconvex (combinatorial) optimization.

About the Author

YINYU YE, PhD, is Professor in the Department of ManagementSciences at the University of Iowa College of BusinessAdministration and the Program in Applied Mathematical &Computational Sciences.

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  • PublisherWiley-Interscience
  • Publication date1997
  • ISBN 10 0471174203
  • ISBN 13 9780471174202
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages440

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Hardcover. Condition: new. Hardcover. The first comprehensive review of the theory and practice of one oftoday's most powerful optimization techniques. The explosive growth of research into and development of interiorpoint algorithms over the past two decades has significantlyimproved the complexity of linear programming and yielded some oftoday's most sophisticated computing techniques. This book offers acomprehensive and thorough treatment of the theory, analysis, andimplementation of this powerful computational tool. Interior Point Algorithms provides detailed coverage of all basicand advanced aspects of the subject. Beginning with an overview offundamental mathematical procedures, Professor Yinyu Ye movesswiftly on to in-depth explorations of numerous computationalproblems and the algorithms that have been developed to solve them.An indispensable text/reference for students and researchers inapplied mathematics, computer science, operations research,management science, and engineering, Interior Point Algorithms: * Derives various complexity results for linear and convexprogramming * Emphasizes interior point geometry and potential theory * Covers state-of-the-art results for extension, implementation,and other cutting-edge computational techniques * Explores the hottest new research topics, including nonlinearprogramming and nonconvex optimization. This book describes the theory and analysis of interior-point algorithms and the surge in research development over the last ten years. It derives various complexity results for linear and convex programming. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471174202

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Gebunden. Condition: New. This book describes the theory and analysis of interior-point algorithms and the surge in research development over the last ten years. It derives various complexity results for linear and convex programming.&Uumlber den AutorYINYU . Seller Inventory # 446914899

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