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The 1st edition of this book is considered a classic; the 2nd edition expanded on the theme, and the 3rd edition updates the material with the help of a new co-author, Yinyu Ye
Provides a structure for learning existing material, and insight for developing new results
Useful to analysts, operations researchers and management experts in many fields
"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights. These insights provide structure to what might otherwise be simply a collection of techniques and results, and this is valuable both as a means for learning existing material and for developing new results. One major insight of this type is the connection between the purely analytical character of an optimization problem, expressed perhaps by properties of the necessary conditions, and the behavior of algorithms used to solve a problem. This was a major theme of the first and second editions. Now the third edition has been completely updated with recent Optimization Methods. Yinyu Ye has written chapters and chapter material on a number of these areas including Interior Point Methods.
This book is designed for either self-study by professionals or classroom work at the undergraduate or graduate level for technical students. Like the field of optimization itself, which involves many classical disciplines, the book should be useful to system analysts, operations researchers, numerical analysts, management scientists, and other specialists.
Content Level »Research
Keywords »Optimization Methods - algorithm - linear optimization - nonlinear optimization - operations research - optimization - programming