Princeton University Press
Linear Programming and Extensions
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George B. Dantzig
and George B. Dantzig
About this book
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.
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Frontmatter
i -
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Preface
vii -
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Contents
xi -
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1. The Linear Programming Concept
1 -
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2. Origins and Influences
12 -
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3. Formulating a Linear Programming Model
32 -
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4. Linear Equation and Inequality Systems
69 -
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5. The Simplex Method
94 -
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6. Proof of the Simplex Algorithm and the Duality Theorem
120 -
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7. The Geometry of Linear Programs
147 -
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8. Pivoting, Vector Spaces, Matrices, and Inverses
173 -
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9. The Simplex Method Using Multipliers
210 -
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10. Finiteness of the Simplex Method under Perturbation
228 -
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11. Variants of the Simplex Algorithm
240 -
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12. The Price Concept in Linear Programming
254 -
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13. Games And Linear Programs
277 -
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14. The Classical Transportation Problem
299 -
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15. Optimal Assignment and Other Distribution Problems
316 -
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16. The Transshipment Problem
335 -
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17. Networks and the Transshipment Problem
352 -
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18. Variables with Upper Bounds
368 -
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19. Maximal Flows in Networks
385 -
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20. The Primal-Dual Method for Transportation Problems
404 -
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21. The Weighted Distribution Problem
413 -
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22. Programs with Variable Coefficients
433 -
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23. A Decomposition Principle for Linear Programs
448 -
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24. Convex Programming
471 -
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25. Uncertainty
499 -
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26. Discrete-Variable Extremum Problems
514 -
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27. Stigler’s Nutrition Model: An Example of Formulation and Solution
551 -
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28. The Allocation of Aircraft to Routes under Uncertain Demand
568 -
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Bibliography
592 -
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Subject Index
617 -
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Name Index
625 -
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