Computer Science – Data Structures and Algorithms
Scientific paper
2000-06-30
J. Algorithms 54:2 (2005) 168-204
Computer Science
Data Structures and Algorithms
31 pages, 22 figures. An earlier version of this paper was presented at the 36th IEEE Symp. Foundations of Comp. Sci., 1995, a
Scientific paper
10.1016/j.jalgor.2004.06.008
We consider worst case time bounds for NP-complete problems including 3-SAT, 3-coloring, 3-edge-coloring, and 3-list-coloring. Our algorithms are based on a constraint satisfaction (CSP) formulation of these problems. 3-SAT is equivalent to (2,3)-CSP while the other problems above are special cases of (3,2)-CSP; there is also a natural duality transformation from (a,b)-CSP to (b,a)-CSP. We give a fast algorithm for (3,2)-CSP and use it to improve the time bounds for solving the other problems listed above. Our techniques involve a mixture of Davis-Putnam-style backtracking with more sophisticated matching and network flow based ideas.
Beigel Richard
Eppstein David
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