: Linear and Nonlinear Optimization () by Igor Griva; Stephen G. Nash; Ariela Sofer and a great selection of similar New, Used. Provides an introduction to the applications, theory, and algorithms of linear and nonlinear optimization. The emphasis is on practical aspects. by Igor Griva, Stephen G. Nash, Ariela Sofer This book is primarily intended for use in linear and nonlinear optimization courses for advanced undergraduate.
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The succinct style of iigor 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. Computational complexity of linear programming; The book is designed to be flexible.
Ariela Sofer received the B. She has been a member of the editorial boards of the journals Operations Research and Management Science, and is coeditor on a subseries of the Annals of Operations Research on Operations Research in Medicine.
Igor Griva (Author of Linear and Nonlinear Optimization. Igor Griva, Stephen G. Nash, Ariela Sofer)
Interior-point methods of linear programming; Part III. The emphasis is on practical aspects – discussing modern algorithms, as well as the influence of theory on the interpretation of solutions or on the design of software.
Her major areas ior interest are nonlinear optimization and optimization in biomedical applications. Geometry of linear programming; 5. Fundamentals of optimization; 3.
It has a modular structure, and uses consistent notation and terminology throughout. Enhancements of the simplex method; 8.
Her major areas of interest are nonlinear optimization and optimization in biomedical applications. This book introduces the applications, theory, and algorithms of linear and nonlinear optimization, with an emphasis on the practical aspects of the material. Home Contact Us Help Free delivery worldwide.
His research focuses on the theory and methods of nonlinear optimization and their application to problems in science and engineering. Follow us on Facebook Twitter YouTube. The emphasis is on practical aspects – discussing modern algorithms, as well as the influence of theory on the interpretation of solutions or on the design of software. In the preface the authors suggest course outlines that can be adjusted to the requirements of a particular course on both linear and ljnear optimization, or to separate courses on these topics.
Duality and sensitivity; 7.
Linear and Nonlinear Optimization / Edition 2
About the Author Igor Griva received a B. Geometry of linear programming; 5. The book includes several examples of realistic optimization models that address important applications.
Table of contents Preface; Part I. Representation of linear constraints; Part II.
NashAriela Sofer Limited preview – Oltimization fundamentals; Appendix C. We promise to never spam you, and just use your email address to identify you as a valid customer. Basics of unconstrained optimization; Penalty and barrier methods; Part V.
Account Options Sign in. Book ratings by Goodreads. Penalty and barrier methods; Part V.