Linear Programs and Related Problems

Linear Programs and Related Problems

Author: Evar D. Nering

Publisher: Academic Press

Published: 1993

Total Pages: 618

ISBN-13: 9780125154406

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This text is concerned primarily with the theory of linear and nonlinear programming, and a number of closely-related problems, and with algorithms appropriate to those problems. In the first part of the book, the authors introduce the concept of duality which serves as a unifying concept throughout the book. The simplex algorithm is presented along with modifications and adaptations to problems with special structures. Two alternative algorithms, the ellipsoidal algorithm and Karmarker's algorithm, are also discussed, along with numerical considerations. the second part of the book looks at specific types of problems and methods for their solution. This book is designed as a textbook for mathematical programming courses, and each chapter contains numerous exercises and examples.


The Collected Essays of Richard E. Quandt

The Collected Essays of Richard E. Quandt

Author: Richard E. Quandt

Publisher: Edward Elgar Publishing

Published: 1992-01-01

Total Pages: 876

ISBN-13: 9781782543176

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Professor Richard Quandt has made a major contribution to the development of economics in the 20th century. The range and significance of his work has long required a collection of his essays which will allow his contribution to be assessed as a whole. Despite an early interest in microeconomic theory, Richard Quandt has devoted most of his career to econometrics and, in particular, modal split estimation. More recently his work has focused on the econometrics of disequilibrium models with reference to both free market and planned economies. As well as outlining his many articles in microtheory, general econometrics, disequilibrium modeling, financial economics and the economics of planned economies, this collection should have a particular value for all scholars interested in the emergence of the new economies in Eastern Europe, a subject to which Professor Quandt has applied himself in recent years. This book includes an introduction by Professor Quandt describing his early life in Budapest and the circumstances which led him to study economics in America.


Linear Programming

Linear Programming

Author: Saul I. Gass

Publisher: Courier Corporation

Published: 2003-01-01

Total Pages: 545

ISBN-13: 048643284X

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Comprehensive, well-organized volume, suitable for undergraduates, covers theoretical, computational, and applied areas in linear programming. Expanded, updated edition; useful both as a text and as a reference book. 1995 edition.


An Illustrated Guide to Linear Programming

An Illustrated Guide to Linear Programming

Author: Saul I. Gass

Publisher: Courier Corporation

Published: 2013-04-09

Total Pages: 194

ISBN-13: 0486319601

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Entertaining, nontechnical introduction covers basic concepts of linear programming and its relationship to operations research; geometric interpretation and problem solving, solution techniques, network problems, much more. Only high-school algebra needed.


Linear Programming

Linear Programming

Author: Howard Karloff

Publisher: Springer Science & Business Media

Published: 2008-10-14

Total Pages: 150

ISBN-13: 0817648445

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To this reviewer’s knowledge, this is the first book accessible to the upper division undergraduate or beginning graduate student that surveys linear programming.... Style is informal. ...Recommended highly for acquisition, since it is not only a textbook, but can also be used for independent reading and study. —Choice Reviews This is a textbook intended for advanced undergraduate or graduate students. It contains both theory and computational practice. —Zentralblatt Math


Advances in Optimization and Linear Programming

Advances in Optimization and Linear Programming

Author: Ivan Stanimirović

Publisher: CRC Press

Published: 2022-01-27

Total Pages: 204

ISBN-13: 1000522032

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This new volume provides the information needed to understand the simplex method, the revised simplex method, dual simplex method, and more for solving linear programming problems. Following a logical order, the book first gives a mathematical model of the linear problem programming and describes the usual assumptions under which the problem is solved. It gives a brief description of classic algorithms for solving linear programming problems as well as some theoretical results. It goes on to explain the definitions and solutions of linear programming problems, outlining the simplest geometric methods and showing how they can be implemented. Practical examples are included along the way. The book concludes with a discussion of multi-criteria decision-making methods. Advances in Optimization and Linear Programming is a highly useful guide to linear programming for professors and students in optimization and linear programming.