DocumentCode :
3476424
Title :
Satisfiability and integer programming as complementary tools
Author :
Ruirning Li ; Dian Zhou ; Donglei Du
Author_Institution :
The University of Texas at Dallas
fYear :
2004
fDate :
27-30 Jan. 2004
Firstpage :
880
Lastpage :
883
Abstract :
Satisfiability (SAT) and integer linear programming (ILP) are two related NP-complete problems. They both have a lot of important applications. We study the effectivenessof using them as a complementary tool to each other. We propose three different ILP formulations to solve SAT and compare them with state-ofthe- art SAT solvers Berkmin and zchaff. On the other hand, we give two methods to solve ILP by using SAT solvers. In both cases, we achieve speed-ups of several orders for most of our tested examples.
Keywords :
Application software; Electronic design automation and methodology; Heuristic algorithms; Integer linear programming; Linear programming; NP-complete problem; Niobium; Polynomials; Sun; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2004. Proceedings of the ASP-DAC 2004. Asia and South Pacific
Conference_Location :
Yohohama, Japan
Print_ISBN :
0-7803-8175-0
Type :
conf
DOI :
10.1109/ASPDAC.2004.1337719
Filename :
1337719
Link To Document :
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