Linear programming : foundations and extensions

By:

Vanderbei, Robert J

Material type: Text

TextPublication details: Switzerland Springer 2020Edition: 5th edDescription: xxv, 471pISBN:

9783030394172(pbk)

Subject(s):

DDC classification:

519.6 VAN

Summary: "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 optimization. Readers will discover a host of practical business applications as well as non-business applications. Topics are clearly developed with many numerical examples worked out in detail. Specific examples and concrete algorithms precede more abstract topics. With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered, including the two-phase simplex method, primal-dual simplex method, path-following interior-point method, and homogeneous self-dual methods. In addition, the author provides online JAVA applets that illustrate various pivot rules and variants of the simplex method, both for linear programming and for network flows. These C programs and JAVA tools can be found on the book's website. The website also includes new online instructional tools and exercises."

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Mathematics	519.6 VAN (Browse shelf(Opens below))	Available		004647

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Previous	519.6 BER Convex optimization algorithms	519.6 BOY Convex optimization	519.6 NOC Numerical optimization	519.6 VAN Linear programming : foundations and extensions	519.703 BER Neuro-dynamic programming	519.703 BER Neuro-dynamic programming	519.703 BER Dynamic programming and optimal control	Next

https://link.springer.com/book/10.1007/978-1-4614-7630-6#about-this-book

"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 optimization. Readers will discover a host of practical business applications as well as non-business applications.

Topics are clearly developed with many numerical examples worked out in detail. Specific examples and concrete algorithms precede more abstract topics. With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered, including the two-phase simplex method, primal-dual simplex method, path-following interior-point method, and homogeneous self-dual methods. In addition, the author provides online JAVA applets that illustrate various pivot rules and variants of the simplex method, both for linear programming and for network flows. These C programs and JAVA tools can be found on the book's website. The website also includes new online instructional tools and exercises."

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