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| | We present DC-SSAT, a sound and complete divide-and-conquer algorithm for solving stochastic satisfiability (SSAT) problems that outperforms the best existing algorithm for solving such problems (ZANDER) by several orders of magnitude with respect to both time and space. DC-SSAT achieves this performance by dividing the SSAT problem into subproblems based on the structure of the original instance, caching the viable partial assignments (VPAs) generated by solving these subproblems, and using these VPAs to construct the solution to the original problem. DC-SSAT does not save redundant VPAs and each VPA saved is necessary to construct the solution. Furthermore, DC-SSAT builds a solution that is already human-comprehensible, allowing it to avoid the costly solution rebuilding phase in ZANDER. As a result, DC-SSAT is able to solve problems using, typically, 1-2 orders of magnitude less space than ZANDER, allowing DC-SSAT to solve problems ZANDER cannot solve due to space constraints. And, in spite of its more parsimonious use of space, DC-SSAT is typically 1-2 orders of magnitude faster than ZANDER. We describe the DC-SSAT algorithm and present empirical results comparing its performance to that of ZANDER on a set of SSAT problems. |
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| | | | | | | Date: | 02-Aug-2005 | Title: | SAT 2005 Competition detailed results
| Hits: | 16 | Contributed by: | Daniel Le Berre | Keywords: | BMC, DPLL, DP, Intelligent Backtracking, Data structure, Local Search, Repository, Random 3SAT, Randomization, Verification, Structure of problems, EDA, Benchmark, SAT application, Randomised Algorithms, Instance simplification, Learning, SAT tools, branching heuristics, Dynamic restarts, Preprocessing, Unit Propagation |
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| | Binaries for Windows Cygwin and Linux are available for download. |
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| | | | | | | Date: | 08-Jul-2005 | Title: | MiniSAT and SatELite source code available!
| Hits: | 237 | Contributed by: | Daniel Le Berre | Keywords: | BMC, DPLL, Intelligent Backtracking, Data structure, Verification, EDA, SAT application, Instance simplification, SAT tools, pseudo boolean optimization, preprocessors, Preprocessing |
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| | From the authors, Niklas Eén and Niklas Sörenson:
On the page you will find binaries, sources, documentation and projects
related to MiniSat, including the Pseudo-boolean solver MiniSat+ and the
CNF minimizer/preprocessor SatELite. Together with SatELite, MiniSat
recently won the three industrial categories of the SAT 2005 competition
with a reassuring marginal to the other solvers.
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