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Benjamin Böhm

2 accepted papers

2024

Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs

AAAI 2024technical

Conflict-driven clause learning (CDCL) is the dominating algorithmic paradigm for SAT solving and hugely successful in practice. In its lifted version QCDCL, it is one of the main approaches for solving quantified Boolean formulas (QBF). In both SAT and QBF, proofs can be efficiently extracted fr…

Cited by 0SourcePDFScholar
2022

QCDCL with Cube Learning or Pure Literal Elimination - What is Best?

IJCAI 2022poster

Quantified conflict-driven clause learning (QCDCL) is one of the main approaches for solving quantified Boolean formulas (QBF). We formalise and investigate several versions of QCDCL that include cube learning and/or pure-literal elimination, and formally compare the resulting solving models via pro…

Cited by 6SourcePDFScholar