完整的算法

Adnan Darwiche, Knot Pipatsrisawat
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引用次数: 27

摘要

完整的SAT算法构成了SAT文献的重要组成部分。从理论的角度来看,完备算法可以作为研究不同证明系统复杂性的工具。从实际的角度来看,这些算法构成了解决实际应用中出现的SAT问题的基础。现代完整SAT解算器的实用性无疑促进了人们对完整SAT算法的兴趣。我们将在本章中回顾这些算法,包括Davis-Putnum分辨率、Stalmarck算法、符号SAT求解、DPLL算法和现代子句学习SAT求解器。我们还讨论了现代完整SAT解决方案的答案认证问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complete Algorithms
Complete SAT algorithms form an important part of the SAT literature. From a theoretical perspective, complete algorithms can be used as tools for studying the complexities of different proof systems. From a practical point of view, these algorithms form the basis for tackling SAT problems arising from real-world applications. The practicality of modern, complete SAT solvers undoubtedly contributes to the growing interest in the class of complete SAT algorithms. We review these algorithms in this chapter, including Davis-Putnum resolution, Stalmarck’s algorithm, symbolic SAT solving, the DPLL algorithm, and modern clause-learning SAT solvers. We also discuss the issue of certifying the answers of modern complete SAT solvers.
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