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Approximation Algorithms for NP-Hard Problems book

Approximation Algorithms for NP-Hard Problems. Dorit Hochbaum

Approximation Algorithms for NP-Hard Problems

ISBN: 0534949681,9780534949686 | 620 pages | 16 Mb

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Approximation Algorithms for NP-Hard Problems Dorit Hochbaum
Publisher: Course Technology

(So to solve an instance of the Hitting Set Problem, it suffices to solve the instance of your problem with. Think about all the effort that's gone into finding approximation algorithms and hardness of approximation results for NP-complete problems. We then show that the selection of the optimal set of nodes for executing these modules is an NP-hard problem. This problem addresses the issue of timing when deploying viral campaigns. Both these problems are NP-hard, which motivates our interest in their approximation. We obtain computationally simple optimal rules for aggregating and thereby minimizing the errors in the decisions of the nodes executing the intrusion detection software (IDS) modules. Approximation Algorithm vs Heuristic. The field of "Sparse Approximation" deals with ways to perform atom decomposition, namely finding the atoms building the data vector. We present integer programs for both GOPs that provide exact solutions. Rosea: This is the first book to fully address the study of approximation algorithms as a tool for coping with intractable problems. Problem classes P, NP, NP-hard and NP-complete, deterministic and nondeterministic polynomial time algorithms., Approximation algorithms for some NP complete problems. Combining theories of hypothesis testing, stochastic analysis, and approximation algorithms, we develop a framework to counter different threats while minimizing the resource consumption. Approximation algorithms for NP-hard problems. The Hitting Set problem is NP-hard [Karp' 72]. €� traveling salesperson problem, Steiner tree. Approximation algorithm: identifies approximate solutions to problems (mostly often NP-complete and NP-hard problems) to a certain bound. A less obvious application is that the minimum spanning tree can be used to approximately solve the traveling salesman problem. We show both problems to be NP-hard and prove limits on approximation for both problems. The Max-Cut problem is known to be NP-hard (if the widely believed {P eq NP} conjecture is true this means that the problem cannot be solved in polynomial time). Many Problems are NP-Complete Does P=NP Coping with NP-Completeness The Vertex Cover Problem Smarter Brute-Force Search.

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