Title page; Contents; Part I. Theory and Algorithms; Chapter 1. A History of Satisfiability; Chapter 2. CNF Encodings; Chapter 3. Complete Algorithms; Chapter 4. CDCL Solvers; Chapter 5. Look-Ahead Based SAT Solvers; Chapter 6. Incomplete Algorithms; Chapter 7. Fundaments of Branching Heuristics; Chapter 8. Random Satisfiability; Chapter 9. Exploiting Runtime Variation in Complete Solvers; Chapter 10. Symmetry and Satisfiability; Chapter 11. Minimal Unsatisfiability and Autarkies; Chapter 12. Worst-Case Upper Bounds; Chapter 13. Fixed-Parameter Tractability
Summary
A collection of papers on various theoretical and practical aspects of SAT solving. It is suitable for students and researchers
Bibliography
Includes bibliographical references and indexes
Notes
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
English
Print version record
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