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CaDiCaL
produces a satisfiability result for a formula
SAT solver uses Conflict Driven Clause Learning (CDCL) and inprocessing, built with the main aim being clean, understandable and modifiable.
Application domain/field
SAT solving
Type of tool
SAT solver
Internals
Local search, target phases (generalisation of phase saving), rephasing, lucky phase detection, bounded variable elimination, failed literal probing, clause subsumption/vivification, chronological backtracking, incremental solving, model based testing. License: MIT
SAT
Links
Project page:
http://fmv.jku.at/cadical/
Repository:
https://github.com/arminbiere/cadical
Last commit date: 17 Aug 2022
Related papers
CaDiCaL at the SAT Race 2019
Backing Backtracking
Last publication date
2019
Related tools
ParaFROST
(extension),
Mobical
(integrated model based tester),
YalSAT
(earlier experiment with local search),
Lingeling
(earlier experiment with lucky phases)
ProVerB specific
Markdown description:
view/edit
Reason for this entry: extended by
ParaFROST
ProVerB
is a part of
SLEBoK
. Last updated:
February 2023
.