Numeric constraint resolution in logic programming based on subdefinite models

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Abstract

Subdefinite computations introduced in [12] are a method of representation and processing of partial specifications. With respect to Constraint Programming, subdefinite computations are a generic con- straint resolution techniques. The theoretic part of the paper describes, in turn, subdefinite computations, their properties, and a method for in- tegration of subdefinite computations into logic programming. The prac- tical part describes an implementation of subdefinite computations with subdefinite numbers in the logic programming system ECLiPSe (Interval Domain library), empirically compares the Interval Domain library to a state-of-art solver of non-linear constraints and describes an application of the Interval Domain library to a problem from financial mathematics. This research is supported by grant 98-06 from l'Institut d'A. M. Lia- pounov d'informatique et de mathfiematiques appliqufiees.

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APA

Petrov, E. (2000). Numeric constraint resolution in logic programming based on subdefinite models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1909, pp. 180–190). Springer Verlag. https://doi.org/10.1007/3-540-40888-6_17

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