Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics






[PDF.ns44] Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics
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 | #2180403 in Books |  Springer |  2002-11-19 | Original language:English | PDF # 1 |  9.21 x1.19 x6.14l,2.02 | File type: PDF | 557 pages

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||8 of 12 people found the following review helpful.| Best to avoid this one . . .|By Reader|This book's presentation is difficult if not impossible to understand. The algorithmics are simply lost amid highly dense, nearly incomprehensible symbolism that obscures rather than illuminates ideas. As a result, the book requires tremendous effort to move from page to page. It will therefore be of limited or no use to practicing sof|From the Back Cover|There are several approaches to attack hard problems. All have their merits, but also their limitations, and need a large body of theory as their basis. A number of books for each one exist: books on complexity theory, others on approximation

Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer tech­ nologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as well as from the practical point of view. There are many general text books on algorithmics, and several specialized books devoted to particular approaches suc...



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