Interior Point Algorithms

Yinyu Ye

ISBN 10: 0471174203 / ISBN 13: 9780471174202

Published by John Wiley and Sons Inc, US, 1997

About this Item

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.

Seller Inventory # LU-9780471174202

Bibliographic Details

• Title: Interior Point Algorithms
• Publisher: John Wiley and Sons Inc, US
• Publication Date: 1997
• Language: English
• ISBN 10: 0471174203
• ISBN 13: 9780471174202
• Binding: Hardback
• Condition: New
• Dimensions: 16.05W x 2.58H x 24.6D centimeters 16.05 centimeters width by 2.58 centimeters height by 24.6 centimeters depth
• Weight: 683 grams

About this title

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.

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.