Structural analysis of the set of of constraints for constraint logic program:

Abstract: "The introduction of the constraint concept into logic programming provides constraint logic programming (CLP) with more declarative expressiveness power. However, there are cases when CLP languages cannot be efficiently implemented because of the domains of constraint. In particular,...

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Bibliographische Detailangaben
1. Verfasser: Nagai, Yasuo (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Tokyo, Japan 1991
Schriftenreihe:Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 701
Schlagworte:
Zusammenfassung:Abstract: "The introduction of the constraint concept into logic programming provides constraint logic programming (CLP) with more declarative expressiveness power. However, there are cases when CLP languages cannot be efficiently implemented because of the domains of constraint. In particular, since we use a CAL language, an instance of the CLP scheme, and this algebraic constraint solver is based on the Buchberger algorithm and computes the Grobner base, it is necessary to process efficiently, by considering the order of constraint solving. Therefore, it is necessary to handle both the inference engine and the constraint solver to efficiently process the CLP
Furthermore, to efficiently process constraints using the CAL language on applications using the Buchberger algorithm, it is necessary to construct as simple a Grobner base as possible. This paper describes a program analysis method to improve the efficiency of CLP program execution by introducing this graph-theoretic approach, while considering the active researches of program analysis of logic programming. We consider program analysis methods for the CAL language and apply this method to some examples including non-linear constraints. The results show that the proposed method is effective for problems where the algebraic structure of the set of constraints is sparse.
Beschreibung:16 S.

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