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Zchaff2004: An Efficient SAT Solver

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Book cover Theory and Applications of Satisfiability Testing (SAT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3542))

Abstract

The Boolean Satisfiability Problem (SAT) is a well known NP-Complete problem. While its complexity remains a source of many interesting questions for theoretical computer scientists, the problem has found many practical applications in recent years. The emergence of efficient SAT solvers which can handle large structured SAT instances has enabled the use of SAT solvers in diverse domains such as electronic design automation and artificial intelligence. These applications continue to motivate the development of faster and more robust SAT solvers. In this paper, we describe the popular SAT solver zchaff with a focus on recent developments.

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Author information

Authors and Affiliations

  1. Princeton University, Princeton, NJ, 08544, USA

    Yogesh S. Mahajan, Zhaohui Fu & Sharad Malik

Authors
  1. Yogesh S. Mahajan
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  2. Zhaohui Fu
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  3. Sharad Malik
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of British Columbia Vancouver, V6T 1Z4, B.C., Canada

    Holger H. Hoos

  2. Computational Logic Laboratory, Simon Fraser University, Burnaby, BC, Canada

    David G. Mitchell

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© 2005 Springer-Verlag Berlin Heidelberg

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Mahajan, Y.S., Fu, Z., Malik, S. (2005). Zchaff2004: An Efficient SAT Solver. In: Hoos, H.H., Mitchell, D.G. (eds) Theory and Applications of Satisfiability Testing. SAT 2004. Lecture Notes in Computer Science, vol 3542. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527695_27

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  • DOI: https://doi.org/10.1007/11527695_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27829-0

  • Online ISBN: 978-3-540-31580-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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