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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > CONFLICT DRIVEN CLAUSE LEARNING:
Reports tagged with conflict driven clause learning:
TR16-043 | 23rd February 2016
Mikolas Janota

On Q-Resolution and CDCL QBF Solving

Q-resolution and its variations provide the underlying proof
systems for the DPLL-based QBF solvers. While (long-distance) Q-resolution
models a conflict driven clause learning (CDCL) QBF solver, it is not
known whether the inverse is also true. This paper provides a negative
answer to this question. This contrasts with SAT solving, ... more >>>




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