Jun 29, 2019 · This 2017 SAT Competition winning solver has a 3-tier system for keeping learned clauses: Tier 0, Tier 1, and Tier 2. Tier 0 is never cleaned, ...

The primary objective of this paper is to introduce a framework to peek inside the SAT solvers – CrystalBall – to the AI and SAT community. The current version ...

It checked the activity stability of variables and if they were more stable than a threshold, it was decided that the problem was cryptographic. Cryptographic.

The annual SAT competition continues to witness impressive improvements in the performance of the winning SAT solvers largely thanks to the development of new ...

The primary objective of this paper is to introduce a framework to peek inside the SAT solvers -- CrystalBall -- to the AI and SAT community. The current ...

In a departure from recent machine learning based techniques, $$\mathsf {CrystalBall}$$ employs supervised learning and uses extensive, multi-gigabyte data ...

$$\mathsf {CrystalBall}$$ : Gazing in the Black Box of SAT Solving. https://doi.org/10.1007/978-3-030-24258-9_26 · Повний текст. Видання: Lecture Notes in ...

CrystalBall: Gazing in the Black Box of SAT Solving. SAT, 2019, 16. BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model ...

CrystalBall: Gazing in the Black Box of SAT Solving. SAT 2019: 371-387; 2018 ... Lynx: A Programmatic SAT Solver for the RNA-Folding Problem. SAT 2012: 143-156 ...

We generate data using CrystalBall Framework [1]. [1]. CrystalBall : Gazing at the Black-box of SAT Solving : Soos, Kulkarni, Meel (SAT '19). Data Generation.