Linear Programming: Foundations and Exte
β Robert J. Vanderbei
π Library
π
1996
π Kluwer Academic Pub
π English
β¦ LIBER β¦
π
Linear Programming: Foundations and Extensions, 3rd Edition
β Scribed by Robert Vanderbei
- Publisher
- Springer
- Year
- 2007
- Tongue
- English
- Leaves
- 486
- Series
- International Series in Operations Research & Management Science
- Edition
- 3rd
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
This Third Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. Youβll discover a host of practical business applications as well as non-business applications. With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered. The bookβs accompanying website includes the C programs, JAVA tools, and new online instructional tools and exercises.
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Linear Programming: Foundations and Exte
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<p><p>This Fourth Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatment of linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex
Linear programming: foundations and exte
β Robert J Vanderbei (auth.)
π Library
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<p><p>This Fourth Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatment of linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex
Linear Programming. Foundations and Exte
β Robert J. Vanderbei
π Library
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2020
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Linear Programming: Foundations and Exte
β Robert J. Vanderbei
π Library
π
2020
π Springer
π English
<p>The book provides a broad introduction to both the theory and the application of optimization with a special emphasis on the elegance, importance, and usefulness of the parametric self-dual simplex method. The book assumes that a problem in βstandard form,β is a problem with inequality constraint