Exact Algorithms for Constraint Satisfaction Problems is popular PDF and ePub book, written by Robin Alexander Moser in 2013, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Exact Algorithms for Constraint Satisfaction Problems can be Read Online from any device for your convenience.
Exact Algorithms for Constraint Satisfaction Problems Book PDF Summary
The Boolean satisfiability problem (SAT) and its generalization to variables of higher arities - constraint satisfaction problems (CSP) - can arguably be called the most "natural" of all NP-complete problems. The present work is concerned with their algorithmic treatment. It consists of two parts. The first part investigates CSPs for which satisfiability follows from the famous Lovasz Local Lemma. Since its discovery in 1975 by Paul Erdos and Laszlo Lovasz, it has been known that CSPs without dense spots of interdependent constraints always admit a satisfying assignment. However, an iterative procedure to discover such an assignment was not available. We refine earlier attempts at making the Local Lemma algorithmic and present a polynomial time algorithm which is able to make almost all known applications constructive. In the second part, we leave behind the class of polynomial time tractable problems and instead investigate the randomized exponential time algorithm devised and analyzed by Uwe Schoning in 1999, which solves arbitrary clause satisfaction problems. Besides some new interesting perspectives on the algorithm, the main contribution of this part consists of a refinement of earlier approaches at derandomizing Schoning's algorithm. We present a deterministic variant which losslessly reaches the performance of the randomized original.
Detail Book of Exact Algorithms for Constraint Satisfaction Problems PDF
- Author : Robin Alexander Moser
- Release : 21 September 2024
- Publisher : Logos Verlag Berlin GmbH
- ISBN : 9783832533694
- Genre : Computers
- Total Page : 215 pages
- Language : English
- PDF File Size : 13,5 Mb
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