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Titlebook: Bridging Constraint Satisfaction and Boolean Satisfiability; Justyna Petke Book 2015 Springer International Publishing Switzerland 2015 Bo

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楼主: 撒谎
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Grundlagen offener Rechnernetze,sively studied ever since in counting arguments. The principle roughly states that if . objects are distributed over . pigeonholes where . < ., then at least one pigeonhole must contain more than one item. Surprisingly enough the most basic SAT encoding of the principle is not solved efficiently by
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https://doi.org/10.1007/978-3-319-21810-6Boolean Constraint Propagation (BCP); Boolean Satisfiability Problem (SAT); CSP Languages; CSP-Solvers;
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978-3-319-37364-5Springer International Publishing Switzerland 2015
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Solver performance on tractable CSPs: empirical evaluation,Software tools for solving finite domain constraint problems are now freely available from several groups around the world. Examples include the Gecode system developed in Germany and Sweden [Sch11], the G12 finite domain solver developed in Australia [NSB.07], and the Minion constraint solver developed in the UK [GJM06].
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Conclusions,It is well-known that SAT-solvers are remarkably efficient. However, little is known as to why this is the case. In this book we have tried to answer this question by investigating the connections between . and . problems.
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Justyna PetkeExplains why SAT-solvers are efficient on certain classes of CSPs.Explains which SAT encodings preserve tractability of certain classes of CSPs.Valuable for researchers and graduate students in artifi
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