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Linear Programming Computation (Paperback)
  • Linear Programming Computation (Paperback)
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Linear Programming Computation (Paperback)

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£119.99
Paperback 747 Pages / Published: 03/09/2016
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With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to conventional topics, such as the simplex method, duality, and interior-point methods, all deduced in a fresh and clear manner, it introduces the state of the art by highlighting brand-new and advanced results, including efficient pivot rules, Phase-I approaches, reduced simplex methods, deficient-basis methods, face methods, and pivotal interior-point methods. In particular, it covers the determination of the optimal solution set, feasible-point simplex method, decomposition principle for solving large-scale problems, controlled-branch method based on generalized reduced simplex framework for solving integer LP problems.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783662514306
Number of pages: 747
Weight: 1157 g
Dimensions: 235 x 155 x 39 mm
Edition: Softcover reprint of the original 1st ed. 201


MEDIA REVIEWS

From the book reviews:

"The book seems to be mainly addressed to scientists who already possess some expertise in LP. The kind of presentation, however, also allows using parts of it as a basis for a course on the topic. In fact, a special feature of the book is that an algorithm typically is accompanied by some example for which the results of all computational steps needed to find a solution are written down." (Rembert Reemtsen, zbMATH, Vol. 1302, 2015)

"This book is a research monograph focusing on computational techniques in the simplex method for linear programming. ... It may be of interest to researchers and developers of simplex method codes for linear programming." (B. Borchers, Choice, Vol. 52 (3), November, 2014)

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