Titlebook: Constraint Programming: Basics and Trends; 1994 Chatillon Sprin Andreas Podelski Conference proceedings 1995 Springer-Verlag Berlin Heidelb

Sarcoma

Enhancing the constraint-solving power of clp(FD) by means of path-consistency methods,. constraint-solver of the clp(FD) system. Besides the clp(FD) . encoding (partial) arc-consistency methods, we introduce new primitive constraints, that we call ., which encode path-consistency methods. These new constraints increase the constraint-solving power and the extensibility of the clp(FD)

蹣跚

ALIAS

一夫一妻制

Linear constraint solving in CLP-Languages,rally called solved forms, since a satisfiable linear constraint system can be rewritten under one of these forms, and reciprocally, a linear constraint system of one of these forms is satisfiable. This paper aims to present three different solved forms two of which are used in the main CLP language

DEFT

On the use of constraints in automated deduction,rategies using constraints is shown through the example of a completion process using ordered and basic strategies. The schematization of complex unification problems through constraints is illustrated by the example of an equational theorem prover with associativity and commutativity axioms. The in

output

Abstract interpretation and finite domain symbolic constraints,n symbolic constraints constitute a restricted class of first order formulas which enjoy efficient representations. In this paper, it is shown how finite domain symbolic constraints can be used to implement a whole class of abstract domains applicable to any programming paradigm. Some interesting ac

peptic-ulcer

Concurrency and Concurrent Constraint Programming,language, and to describe a particular approach which makes some specific choices in order to give a semantics to the class of CC languages. In particular, we will discuss how to handle the issues of concurrency and nondeterminism, and we will examine in detail the formalism of Petri nets, which, su

思考而得

季雨

謙虛的人

An architecture for cooperating constraint solvers on reals,ation of . makes it possible to solve problems that none of these solvers can tackle alone. Then, we specify a cooperative architecture which allows . when handling constraints over the reals. This architecture is based upon agents that communicate via .. Agent are synchronized when a failure or a s