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Linear and Nonlinear Optimization (Internationa. Cottle, Thapa<|

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
PublishedOn
2017-07-31
Title
Linear and Nonlinear Optimization (International Series in Opera
Artist
Not Specified
ISBN
9781493970537
Subject Area
Data Analysis
Publication Name
Linear and Nonlinear Optimization
Publisher
Springer-Verlag New York Inc.
Subject
Engineering & Technology, Mathematics, Management
Publication Year
2017
Series
International Series in Operations Research & Management Science
Type
Textbook
Format
Hardcover
Language
English
Item Height
235 mm
Author
Mukund N. Thapa, Richard W. Cottle
Item Width
155 mm
Number of Pages
614 Pages

About this product

Product Information

This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields. It is both literate and mathematically strong, yet requires no prior course in optimization. As suggested by its title, the book is divided into two parts covering in their individual chapters LP Models and Applications; Linear Equations and Inequalities; The Simplex Algorithm; Simplex Algorithm Continued; Duality and the Dual Simplex Algorithm; Postoptimality Analyses; Computational Considerations; Nonlinear (NLP) Models and Applications; Unconstrained Optimization; Descent Methods; Optimality Conditions; Problems with Linear Constraints; Problems with Nonlinear Constraints; Interior-Point Methods; and an Appendix covering Mathematical Concepts. Each chapter ends with a set of exercises. The book is based on lecture notes the authors have used in numerous optimization courses the authors have taught at Stanford University. It emphasizes modeling and numerical algorithms for optimization with continuous (not integer) variables. The discussion presents the underlying theory without always focusing on formal mathematical proofs (which can be found in cited references). Another feature of this book is its inclusion of cultural and historical matters, most often appearing among the footnotes. This book is a real gem. The authors do a masterful job of rigorously presenting all of the relevant theory clearly and concisely while managing to avoid unnecessary tedious mathematical details. This is an ideal book for teaching a one or two semester masters-level course in optimization - it broadly covers linear and nonlinear programming effectively balancing modeling, algorithmic theory, computation, implementation, illuminating historical facts, and numerous interesting examples and exercises. Due to the clarity of the exposition, this book also serves as a valuable reference for self-study. Professor Ilan Adler, IEOR Department, UC Berkeley A carefully crafted introduction to the main elements and applications of mathematical optimization. This volume presents the essential concepts of linear and nonlinear programming in an accessible format filled with anecdotes, examples, and exercises that bring the topic to life. The authors plumb their decades of experience in optimization to provide an enriching layer of historical context. Suitable for advanced undergraduates and masters students in management science, operations research, and related fields. Michael P. Friedlander, IBM Professor of Computer Science, Professor of Mathematics, University of British Columbia

Product Identifiers

Publisher
Springer-Verlag New York Inc.
ISBN-13
9781493970537
eBay Product ID (ePID)
237056115

Product Key Features

Number of Pages
614 Pages
Publication Name
Linear and Nonlinear Optimization
Language
English
Subject
Engineering & Technology, Mathematics, Management
Publication Year
2017
Type
Textbook
Subject Area
Data Analysis
Author
Mukund N. Thapa, Richard W. Cottle
Series
International Series in Operations Research & Management Science
Format
Hardcover

Dimensions

Item Height
235 mm
Item Width
155 mm
Volume
253

Additional Product Features

Country/Region of Manufacture
United States
Title_Author
Mukund N. Thapa, Richard W. Cottle

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