Computer Science – Data Structures and Algorithms
Scientific paper
2007-09-19
Computer Science
Data Structures and Algorithms
14 pages, 1 figure
Scientific paper
Unit two-variable-per-inequality (UTVPI) constraints form one of the largest class of integer constraints which are polynomial time solvable (unless P=NP). There is considerable interest in their use for constraint solving, abstract interpretation, spatial databases, and theorem proving. In this paper we develop a new incremental algorithm for UTVPI constraint satisfaction and implication checking that requires O(m + n log n + p) time and O(n+m+p) space to incrementally check satisfiability of m UTVPI constraints on n variables and check implication of p UTVPI constraints.
Schutt Andreas
Stuckey Peter J.
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