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Temporal induction is one of the most popular SAT-based model checking techniques. It consists of two parts, the base case and the induction step. With the search length increment, both parts generate a sequence of SAT problems. This paper focuses on learnt clause replication and reuse in incremental temporal induction. Firstly, with the aid of assumption literals, we present an alternative clause...
Temporal induction is a SAT-based model checking technique. We prove that the SAT instances generated by its induction rule can be reduced to the so called Incremental CNFs. A new DPLL procedure is customized for Incremental CNFs, so that the intermediate results in solving previous instances, including the learnt clauses and the search tree, can be reused in solving the next instance. To the best...
The ORNL-PSerc-Alaska (OPA) model is a blackout model proposed by researchers at Oak Ridge National Laboratory (ORNL), Power System Engineering Research Center of Wisconsin University (PSerc), and Alaska University (Alaska). Although the OPA model is a landmark study, it has two limitations. First, there is a significant difference between simulation and practice in transmission line outage and update;...
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