Assessing progress in SAT solvers through the Lens of incremental SAT
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Publication:2118309
DOI10.1007/978-3-030-80223-3_20OpenAlexW3186784740MaRDI QIDQ2118309
Alexey Ignatiev, Stepan Kochemazov, João P. Marques-Silva
Publication date: 22 March 2022
Full work available at URL: https://doi.org/10.1007/978-3-030-80223-3_20
Analysis of algorithms and problem complexity (68Q25) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Computational aspects of satisfiability (68R07)
Uses Software
Cites Work
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- Optimal speedup of Las Vegas algorithms
- Chronological backtracking
- PySAT: a Python toolkit for prototyping with SAT oracles
- Conflict-driven answer set solving: from theory to practice
- Speeding up assumption-based SAT
- Backing backtracking
- Propagation via lazy clause generation
- Clause vivification by unit propagation in CDCL SAT solvers
- Iterative and core-guided maxsat solving: a survey and assessment
- Learning Rate Based Branching Heuristic for SAT Solvers
- Inprocessing Rules
- On Improving MUS Extraction Algorithms
- Empirical Study of the Anatomy of Modern Sat Solvers
- Between SAT and UNSAT: The Fundamental Difference in CDCL SAT
- GRASP: a search algorithm for propositional satisfiability
- RC2: an Efficient MaxSAT Solver
- Theory and Applications of Satisfiability Testing
- Factoring Out Assumptions to Speed Up MUS Extraction
- Improving Glucose for Incremental SAT Solving with Assumptions: Application to MUS Extraction
- A Computing Procedure for Quantification Theory
- A machine program for theorem-proving
- The complexity of theorem-proving procedures
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