A First Course in Optimization Theory

A First Course in Optimization Theory

Author: Rangarajan K. Sundaram

Publisher: Cambridge University Press

Published: 1996-06-13

Total Pages: 335

ISBN-13: 1139643150

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This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.


A First Course in Optimization

A First Course in Optimization

Author: Charles Byrne

Publisher: CRC Press

Published: 2014-08-11

Total Pages: 313

ISBN-13: 1482226588

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Give Your Students the Proper Groundwork for Future Studies in OptimizationA First Course in Optimization is designed for a one-semester course in optimization taken by advanced undergraduate and beginning graduate students in the mathematical sciences and engineering. It teaches students the basics of continuous optimization and helps them better


A First Course in Combinatorial Optimization

A First Course in Combinatorial Optimization

Author: Jon Lee

Publisher: Cambridge University Press

Published: 2004-02-09

Total Pages: 232

ISBN-13: 9780521010122

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A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the exposition is the polyhedral viewpoint, which is the key principle underlying the successful integer-programming approach to combinatorial-optimization problems. Another key unifying topic is matroids. The author does not dwell on data structures and implementation details, preferring to focus on the key mathematical ideas that lead to useful models and algorithms. Problems and exercises are included throughout as well as references for further study.


Optimization Theory with Applications

Optimization Theory with Applications

Author: Donald A. Pierre

Publisher: Courier Corporation

Published: 2012-07-12

Total Pages: 644

ISBN-13: 0486136957

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Broad-spectrum approach to important topic. Explores the classic theory of minima and maxima, classical calculus of variations, simplex technique and linear programming, optimality and dynamic programming, more. 1969 edition.


Optimization

Optimization

Author: Mohan C. Joshi

Publisher: Alpha Science Int'l Ltd.

Published: 2004

Total Pages: 348

ISBN-13: 9781842651964

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Gives a detailed mathematical exposition to various optimization techniques. This book includes topics such as: Single and multi-dimensional optimization, Linear programming, Nonlinear constrained optimization and Evolutionary algorithms.


Foundations of Optimization

Foundations of Optimization

Author: Osman Güler

Publisher: Springer Science & Business Media

Published: 2010-08-03

Total Pages: 445

ISBN-13: 0387684077

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This book covers the fundamental principles of optimization in finite dimensions. It develops the necessary material in multivariable calculus both with coordinates and coordinate-free, so recent developments such as semidefinite programming can be dealt with.


Convex Analysis and Nonlinear Optimization

Convex Analysis and Nonlinear Optimization

Author: Jonathan Borwein

Publisher: Springer Science & Business Media

Published: 2010-05-05

Total Pages: 316

ISBN-13: 0387312560

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Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. Each section concludes with an often extensive set of optional exercises. This new edition adds material on semismooth optimization, as well as several new proofs.


Optimization—Theory and Practice

Optimization—Theory and Practice

Author: Wilhelm Forst

Publisher: Springer Science & Business Media

Published: 2010-07-26

Total Pages: 420

ISBN-13: 0387789766

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Optimization is a field important in its own right but is also integral to numerous applied sciences, including operations research, management science, economics, finance and all branches of mathematics-oriented engineering. Constrained optimization models are one of the most widely used mathematical models in operations research and management science. This book gives a modern and well-balanced presentation of the subject, focusing on theory but also including algorithims and examples from various real-world applications. Detailed examples and counter-examples are provided--as are exercises, solutions and helpful hints, and Matlab/Maple supplements.


A First Course in Optimization Theory

A First Course in Optimization Theory

Author: Rangarajan K. Sundaram

Publisher: Cambridge University Press

Published: 1996-06-13

Total Pages: 382

ISBN-13: 9780521497701

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Divided into three separate parts, this book introduces students to optimization theory and its use in economics and allied disciplines. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.


Duality in Optimization and Variational Inequalities

Duality in Optimization and Variational Inequalities

Author: C.j. Goh

Publisher: CRC Press

Published: 2002-05-10

Total Pages: 330

ISBN-13: 1420018868

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This comprehensive volume covers a wide range of duality topics ranging from simple ideas in network flows to complex issues in non-convex optimization and multicriteria problems. In addition, it examines duality in the context of variational inequalities and vector variational inequalities, as generalizations to optimization. Duality in Optimizati