Linear Programming and Extensions

Linear Programming and Extensions

by George B. Dantzig
Linear Programming and Extensions

Linear Programming and Extensions

by George B. Dantzig

eBook

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Overview

The influential book that established the mathematical discipline of linear programming

In the worlds of finance, business, and management, mathematicians and economists frequently encounter problems of optimization. In this classic book, George Dantzig shows how the methods of linear programming can provide solutions. Drawing on a wealth of examples, he introduces the basic theory of linear inequalities and describes the powerful simplex method used to solve them. He discusses the price concept, the transportation problem, and matrix methods, and covers key mathematical concepts such as the properties of convex sets and linear vector spaces. Dantzig demonstrates how linear programming can be applied to a host of optimization problems, from minimizing traffic congestion to maximizing the scheduling of airline flights.

An invaluable resource for students and practitioners alike, Linear Programming and Extensions is an extraordinary account of the development and uses of this versatile mathematical technique, blending foundational research in mathematical theory with computation, economic analysis, and applications to industrial problems.


Product Details

ISBN-13: 9781400884179
Publisher: Princeton University Press
Publication date: 08/10/2016
Series: Princeton Landmarks in Mathematics and Physics , #25
Sold by: Barnes & Noble
Format: eBook
Pages: 656
File size: 23 MB
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About the Author

George B. Dantzig (1914–2005) is widely acclaimed as the father of linear programming and was a leading figure in the development of mathematical optimization, making important contributions to fields such as industrial engineering, economics, and statistics. He was professor emeritus of operations research and computer science at Stanford University.

Table of Contents

Preface
Ch. 1The Linear Programming Concept
Ch. 2Origins and Influences
Ch. 3Formulating a Linear Programming Model
Ch. 4Linear Equation and Inequality Systems
Ch. 5The Simplex Method
Ch. 6Proof of the Simplex Algorithm and the Duality Theorem
Ch. 7The Geometry of Linear Programs
Ch. 8Pivoting, Vector Spaces, Matrices, and Inverses
Ch. 9The Simplex Method Using Multipliers
Ch. 10Finiteness of the Simplex Method Under Perturbation
Ch. 11Variants of the Simplex Algorithm
Ch. 12The Price Concept in Linear Programming
Ch. 13Games and Linear Programs
Ch. 14The Classical Transportation Problem
Ch. 15Optimal Assignment and Other Distribution Problems
Ch. 16The Transshipment Problem
Ch. 17Networks and the Transshipment Problem
Ch. 18Variables with Upper Bounds
Ch. 19Maximal Flows in Networks
Ch. 20ThePrimal-Dual Method for Transportation Problems
Ch. 21The Weighted Distribution Problem
Ch. 22Programs with Variable Coefficients
Ch. 23A Decomposition Principle for Linear Programs
Ch. 24Convex Programming
Ch. 25Uncertainty
Ch. 26Discrete Variable Extremum Problems
Ch. 27Stigler's Nutrition Model: An Example of Formulation and Solution
Ch. 28The Allocation of Aircraft to Routes Under Uncertain Demand
Bibliography
Index

What People are Saying About This

From the Publisher

"The author of this book was the main force in establishing a new mathematical discipline, and he has contributed to its further development at every stage and from every angle. [Linear Programming and Extensions] is a treasure trove for those who work in this field—teachers, students, and users alike. Its encyclopaedic coverage, due in part to collaboration with other experts, makes it an absolute must."—S. Vajda, Zentralblatt für Mathematik und ihre Grenzgebiete

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