Armin Biere

Preprocessing and Inprocessing Techniques in SAT

DATE:Friday, September 2, 2011


SAT solvers are used in many applications in and outside of Computer Science. The success of SAT is based on the use of good decision heuristics, learning, restarts, and compact data structures with fast algorithms. But also efficient and effective encoding, preprocessing and inprocessing techniques are important in practice. In this talk we give an overview of old and more recent inprocessing and preprocessing techniques starting with ancient pure literal reasoning and failed literal probing. Hyper-binary resolution and variable elimination are more recent techniques of this century. We discuss blocked-clause elimination, which gives a nice connection to optimizing encodings and conclude with our recent results on unhiding redundancy fast.

Given at WorKer 2011 – The Third Workshop on Kernelization (slides are linked there).

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