2 Search Results for "Codish, Michael"

Document
Tool Description
DOI: 10.4230/OASIcs.ICLP.2017.5
Logic Programming with Max-Clique and its Application to Graph Coloring (Tool Description)

Authors: Michael Codish, Michael Frank, Amit Metodi, and Morad Muslimany

Published in: OASIcs, Volume 58, Technical Communications of the 33rd International Conference on Logic Programming (ICLP 2017)

Abstract
This paper presents pl-cliquer, a Prolog interface to the cliquer tool for the maximum clique problem. Using pl-cliquer facilitates a programming style that allows logic programs to integrate with other tools such as: Boolean satisfiability solvers, finite domain constraint solvers, and graph isomorphism tools. We illustrate this programming style to solve the Graph Coloring problem, applying a symmetry break that derives from finding a maximum clique in the input graph. We present an experimentation of the resulting Graph Coloring solver on two benchmarks, one from the graph coloring community and the other from the examination timetabling community. The implementation of pl-cliquer consists of two components: A lightweight C interface, connecting cliquer's C library and Prolog, and a Prolog module which loads the library. The complete tool is available as a SWI-Prolog module.
Cite as

Michael Codish, Michael Frank, Amit Metodi, and Morad Muslimany. Logic Programming with Max-Clique and its Application to Graph Coloring (Tool Description). In Technical Communications of the 33rd International Conference on Logic Programming (ICLP 2017). Open Access Series in Informatics (OASIcs), Volume 58, pp. 5:1-5:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{codish_et_al:OASIcs.ICLP.2017.5,
  author =	{Codish, Michael and Frank, Michael and Metodi, Amit and Muslimany, Morad},
  title =	{{Logic Programming with Max-Clique and its Application to Graph Coloring}},
  booktitle =	{Technical Communications of the 33rd International Conference on Logic Programming (ICLP 2017)},
  pages =	{5:1--5:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-058-3},
  ISSN =	{2190-6807},
  year =	{2018},
  volume =	{58},
  editor =	{Rocha, Ricardo and Son, Tran Cao and Mears, Christopher and Saeedloei, Neda},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICLP.2017.5},
  URN =		{urn:nbn:de:0030-drops-84559},
  doi =		{10.4230/OASIcs.ICLP.2017.5},
  annote =	{Keywords: Logic Programming, Constraints, Maximum Clique}
}
Document
DOI: 10.4230/DagSemProc.07401.5
Implementing RPO and POLO using SAT

Authors: Peter Schneider-Kamp, Carsten Fuhs, René Thiemann, Jürgen Giesl, Elena Annov, Michael Codish, Aart Middeldorp, and Harald Zankl

Published in: Dagstuhl Seminar Proceedings, Volume 7401, Deduction and Decision Procedures (2007)

Abstract
Well-founded orderings are the most basic, but also most important ingredient to virtually all termination analyses. The recursive path order with status (RPO) and polynomial interpretations (POLO) are the two classes that are the most popular in the termination analysis of term rewrite systems. Numerous fully automated search algorithms for these classes have therefore been devised and implemented in termination tools. Unfortunately, the performance of these algorithms on all but the smallest termination problems has been lacking. E.g., recently developed transformations from programming languages like Haskell or Prolog allow to apply termination tools for term rewrite systems to real programming languages. The results of the transformations are often of non-trivial size, though, and cannot be handled efficiently by the existing algorithms. The need for more efficient search algorithms has triggered research in reducing these search problems into decision problems for which more efficient algorithms already exist. Here, we introduce an encoding of RPO and POLO to the satisfiability of propositional logic (SAT). We implemented these encodings in our termination tool AProVE. Extensive experiments have shown that one can obtain speedups in orders of magnitude by this encoding and the application of modern SAT solvers. The talk is based on joint work with Elena Annov, Mike Codish, Carsten Fuhs, Jürgen Giesl, Aart Middeldorp, René Thiemann, and Harald Zankl.
Cite as

Peter Schneider-Kamp, Carsten Fuhs, René Thiemann, Jürgen Giesl, Elena Annov, Michael Codish, Aart Middeldorp, and Harald Zankl. Implementing RPO and POLO using SAT. In Deduction and Decision Procedures. Dagstuhl Seminar Proceedings, Volume 7401, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{schneiderkamp_et_al:DagSemProc.07401.5,
  author =	{Schneider-Kamp, Peter and Fuhs, Carsten and Thiemann, Ren\'{e} and Giesl, J\"{u}rgen and Annov, Elena and Codish, Michael and Middeldorp, Aart and Zankl, Harald},
  title =	{{Implementing RPO and POLO using SAT}},
  booktitle =	{Deduction and Decision Procedures},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7401},
  editor =	{Franz Baader and Byron Cook and J\"{u}rgen Giesl and Robert Nieuwenhuis},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.07401.5},
  URN =		{urn:nbn:de:0030-drops-12491},
  doi =		{10.4230/DagSemProc.07401.5},
  annote =	{Keywords: Termination, SAT, recursive path order, polynomial interpretation}
}
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