Approximation Algorithms for NP-Hard Problems. Dorit Hochbaum

Approximation Algorithms for NP-Hard Problems


Approximation.Algorithms.for.NP.Hard.Problems.pdf
ISBN: 0534949681,9780534949686 | 620 pages | 16 Mb


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Approximation Algorithms for NP-Hard Problems Dorit Hochbaum
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See [BGHK'95] for interesting applications of treewidth Eg : Choleski factorization on sparse symmetric matrices. Approximation Algorithms for NP-Hard Problems by Dorit Hochbaum. This problem addresses the issue of timing when deploying viral campaigns. The expected value of a discrete random variable). For graduate-level courses in approximation algorithms. Approximation Algorithms for NP-Hard Problems pdf download. It assumes familiarity with algorithms, mathematical proofs about the correctness of algorithms, probability theory and NP-completeness. Open Problems : Perhaps the most interesting open question is to obtain a constant factor approximation for treewidth. Finally, we assume that the reader knows something about NP-completeness, at least enough to know that there might be good reason for wanting fast, approximate solutions to NP-hard discrete optimization problems. The problem is NP hard for all non-trivial values of k and d and there are various approximation algorithms for solving this problem. We present integer programs for both GOPs that provide exact solutions. We show both problems to be NP-hard and prove limits on approximation for both problems. Al ruled out absolute approximation algorithm, (unless P = NP) for treewidth and pathwidth. There is an analogous notion of pathwidth which is also NP-complete. Approximating tree-width : Bodlaender et. Both these problems are NP-hard, which motivates our interest in their approximation.

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