RCFB256B3450-Zchoff

RCFB256B3450-Zchoff - Zchaff: A fast SAT solver * Wed like...

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Zchaff: A fast SAT solver ECE 256B – Spring 2002 1 of 12 RCFB256B3450 - Zchoff * We’d like to build a complete decision procedure for SAT which is efficient. Generalized D-P-L algorithm: while (true) { if (! decide( )) /* no unassigned variables */ return (sat) while (! bcp ( )) { if (! resolved_conflict ( )) return (not sat); } } bool resolve_conflict ( ) { d= most recent assignment which is not exhausted; if (d==Null) return (false); else { flip value of d; mark d as exhausted; undo invalidated assumptions; (i.e., u_bcp(d)) return (true) } } Zchaff: A fast SAT solver ECE 256B – Spring 2002 2 of 12 RCFB256B3450 - Zchoff * Decide ( ) chooses an unassigned variable and sets it to a value. Keep a list of current assignments of length (the decision depth). (Returns false only if all variables are exhausted.) * bcp ( ) Boolean Constraint Propagation bcp ( ) identifies unit clauses and trosetively sets forced literals until: a) conflict is found (i.e., current assignments are not consistent) b) all unit clauses are assigned. a unit clause is one which every literal but one is false to satisfy clause that literal must be true. Eg: ++ () + abc abcad if a false; last clause forces d true. or if a true, b false; first clause must set c true. bcp is a powerful look-ahead mechanism since the forced literals can create additional unit clauses run to transitive closure. * On the other hand: such implications are based only on the set of current variable decisions. if a decision is backtracked, we must also remove all the implied assignments made by bcp ( ). It is typical to record the decision values by the level l . Thus if we associate each implied assignment by it level, we need only remove those implications higher than l for a new assignment at level l . This is what u_bcp ( ) does.
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Zchaff: A fast SAT solver ECE 256B – Spring 2002 3 of 12 RCFB256B3450 - Zchoff Observation (Zhang): Majority of run time of solver is in bcp . To make an efficient solver, we must have an efficient bcp. It seems that we need to check each clause to see if it is a unit clause, but this is not so: (we only care if the clause has all but one literal set.) choose any two variables (not zero) in each clause. Then need only check the clauses that have
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This note was uploaded on 12/29/2011 for the course ECE 256b taught by Professor Brewer during the Fall '09 term at UCSB.

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RCFB256B3450-Zchoff - Zchaff: A fast SAT solver * Wed like...

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