: 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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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.

Linear and Nonlinear OptimizationSecond Edition is primarily intended for use in linear and nonlinear optimization courses for advanced undergraduate and graduate students.

Selected pages Page Ariela Sofer received the B. Audience This book is primarily intended for use in linear and nonlinear optimization courses for advanced undergraduate and graduate students.

Linear and Nonlinear Optimization

It can be used in many different ways, in many different courses, and at many different levels of sophistication. Customer Reviews Average Review.

Her major areas of interest are nonlinear optimization, and optimization in biomedical applications. His research focuses on the theory noninear methods of nonlinear optimization and their application to problems in science and engineering.

It has a modular structure, and uses consistent notation and terminology throughout. Other fundamentals; Appendix C.

Linear and Nonlinear Optimization

Interior-point methods of linear programming; Part III. The nknlinear 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.

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. She received the D. Her major areas of interest are nonlinear optimization and optimization in biomedical applications.

Linear and Nonlinear Optimization : Igor Griva :

Linar the preface the authors suggest course outlines that can be adjusted to the requirements of a particular course on both linear and nonlinear optimization, or to separate courses on 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.

Anx the Author Igor Griva received a B. Selected For Comparision Compare Now. Table of contents Preface; Part I. Looking for beautiful books? Ariela Sofer received the B. Be the first to review this product! Other editions – View all Grivz and Nonlinear Optimization: Three appendices provide information on linear algebra, other fundamentals, and software packages for optimization problems.

The simplex method; 6. Topics from linear algebra; Appendix B.

It has a modular structure, and uses consistent notation and terminology throughout. Click the button below to nonlinearr the Linear and Nonlinear Optimization, Second Edition to your wish list.

Representation of linear constraints; Part II. His research focuses on scientific computing, especially nonlinear optimization, along with related interests in statistical computing and optimal control. Her major areas of interest are nonlinear optimization and optimization in biomedical applications.

Penalty and barrier methods; Part V. Topics from linear algebra; Appendix B.