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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques (Lecture Notes in Computer Science)

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 | #14121195 in Books |  2008-06-13 | Original language:English | PDF # 1 |  9.25 x.66 x6.10l,.91 | File type: PDF | 280 pages

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Solving combinatorial optimization problems can often lead to runtime growing exponentially as a function of the input size. But important real-world problems, industrial applications, and academic research challenges, may demand exact optimal solutions. In such situations, parallel processing can reduce the runtime from days or months, typical when one workstation is used, to a few minutes or even seconds.
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