Abstract
Integrating semi-naive fixpoint iteration from deductive data bases [3,2,4] as well as continuations into worklist-based solvers, we derive a new application independent local fixpoint algorithm for distributive constraint systems. Seemingly different efficient algorithms for abstract interpretation like those for linear constant propagation for imperative languages [17] as well as for control-flow analysis for functional languages [13] turn out to be instances of our scheme. Besides this systematizing contribution we also derive a new efficient algorithm for abstract OLDT-resolution as considered in [15,16, 25] for Prolog.
Cite
CITATION STYLE
Fecht, C., & Seidl, H. (1998). Propagating differences: An efficient new fixpoint algorithm for distributive constraint systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1381, pp. 90–104). Springer Verlag. https://doi.org/10.1007/bfb0053565
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