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Linear and Nonlinear Optimization

 
Igor Griva (Author) Stephen G. Nash (Author) Ariela Sofer (Author)
Synopsis

This book introduces the applications, theory, and algorithms of linear and nonlinear optimization, with an emphasis on the practical aspects of the material. Its unique modular structure provides flexibility to accommodate the varying needs of instructors, students, and practitioners with different levels of sophistication in these topics. The succinct style of this second edition is punctuated with numerous real-life examples and exercises, and the authors include accessible explanations of topics that are not often mentioned in textbooks, such as duality in nonlinear optimization, primal-dual methods for nonlinear optimization, filter methods, and applications such as support-vector machines.

This book is primarily intended for use in linear and nonlinear optimization courses for advanced undergraduate and graduate students. It is also appropriate as a tutorial for researchers and practitioners who need to understand the modern algorithms of linear and nonlinear optimization to apply them to problems in science and engineering.

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Bibliographic information

Title Linear and Nonlinear Optimization
Format Softcover
Date published: 31.12.2017
Edition 2nd ed.
Language: English
isbn 9789386235374
length 768p.