| | DIMACS: Series in Discrete Mathematics and Theoretical Computer Science
1997; 724 pp; hardcover
ISBN-13: 978-0-8218-0479-7 List Price: US$191
Member Price: US$152.80
Order Code: DIMACS/35
The satisfiability (SAT) problem is central in mathematical logic, computing theory, and many industrial applications. There has been a strong relationship between the theory, the algorithms, and the applications of the SAT problem. This book aims to bring together work by the best theorists, algorithmists, and practitioners working on the SAT problem and on industrial applications, as well as to enhance the interaction between the three research groups. The book features the application of theoretical/algorithmic results to practical problems and presents practical problems for theoretical/algorithmic study.
Major topics covered in the book include practical and industrial SAT problems and benchmarks, significant case studies and applications of the SAT problem and SAT algorithms, new algorithms and improved techniques for satisfiability testing, specific data structures and implementation details of the SAT algorithms, and the theoretical study of the SAT problem and SAT algorithms.
- A comprehensive review of SAT research work over the past 25 years.
- The most recent research results.
- A spectrum of algorithmic issues and applications.
Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with the Association for Computer Machinery (ACM).
Graduate students and research mathematicians interested in computer science, mathematics, engineering, and operations research.
Table of Contents
- S. A. Cook and D. G. Mitchell -- Finding hard instances of the satisfiability problem: A survey
- J. Gu, P. W. Purdom, J. Franco, and B. W. Wah -- Algorithms for the satisfiability (SAT) problem: A survey
- P. W. Purdom and G. N. Haven -- Backtracking and probing
- J. Franco -- Relative size of certain polynomial time solvable subclasses of satisfiability
- M. V. Marathe, H. B. Hunt III, R. E. Stearns, and V. Radhakrishnan -- Complexity of hierarchically and 1-dimensional periodically specified problems. I: Hardness results
- O. Kullmann -- Worst-case analysis, 3-SAT decision, and lower bounds: Approaches for improved SAT algorithms
- K. Iwama and K. Takaki -- Satisfiability of 3CNF formulas with small clause/variable-ratio
- D. A. Plaisted and G. D. Alexander -- Propositional search efficiency and first-order theorem proving
- J. Wang -- Branching rules for propositional satisfiability test
- B. W. Wah and Y. Shang -- A discrete Lagrangian-based global-search method for solving satisfiability problems
- M. G. C. Resende, L. S. Pitsoulis, and P. M. Pardalos -- Approximate solution of weighted MAX-SAT problems using GRASP
- J. Gu -- Multispace search for satisfiability and NP-hard problems
- S. Joy, J. Mitchell, and B. Borchers -- A branch and cut algorithm for MAX-SAT and weighted MAX-SAT
- A. Løkketangen and F. Glover -- Surrogate constraint analysis--new heuristics and learning schemes for satisfiability problems
- H. Kautz, B. Selman, and Y. Jiang -- A general stochastic approach to solving problems with hard and soft constraints
- J. Hsiang and G. S. Huang -- Some fundamental properties of Boolean ring normal forms
- S. K. Shukla, D. J. Rosenkrantz, H. B. Hunt, and R. E. Stearns -- The polynomial time decidability of simulation relations for finite state processes: A HORNSAT based approach
- L. M. Kirousis, E. Kranakis, and D. Krizanc -- A better upper bound for the unsatisfiability threshold
- R. Battiti and M. Protasi -- Solving MAX-SAT with non-oblivious functions and history-based heuristics
- E. Speckenmeyer, M. Böhm, and P. Heusch -- On the imbalance of distributions of solutions of CNF-formulas and its impact on satisfiability solvers
- H. van Maaren -- On the use of second order derivatives for the satisfiability problem
- C. K. Rushforth and W. Wang -- Local search for channel assignment in cellular mobile networks
- S. Areibi and A. Vannelli -- A GRASP clustering technique for circuit partitioning