Interior Point Algorithms: Theory and AnalysisThe first comprehensive review of the theory and practice of one of today's most powerful optimization techniques. The explosive growth of research into and development of interior point algorithms over the past two decades has significantly improved the complexity of linear programming and yielded some of today's most sophisticated computing techniques. This book offers a comprehensive and thorough treatment of the theory, analysis, and implementation of this powerful computational tool. Interior Point Algorithms provides detailed coverage of all basic and advanced aspects of the subject. Beginning with an overview of fundamental mathematical procedures, Professor Yinyu Ye moves swiftly on to in-depth explorations of numerous computational problems and the algorithms that have been developed to solve them. An indispensable text/reference for students and researchers in applied mathematics, computer science, operations research, management science, and engineering, Interior Point Algorithms:
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References to this book
Nonlinear Programming: Theory and Algorithms Mokhtar S. Bazaraa,Hanif D. Sherali,C. M. Shetty No preview available - 2006 |
A Mathematical View of Interior-Point Methods in Convex Optimization James Renegar No preview available - 2001 |