Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimization and artificial intelligence, and has been successfully applied in a numberof fields from scheduling, computational biology, finance, electrical engineering and operations research through to numerical analysis. Thistextbookforupper-division students provides a thorough and structured account of the main aspects of constraint programming. Novel features are the uniform presentation of constraint solvers and local consistency notions by means of rules, and of constraint propagation algorithms by means of generic iteration algorithms. The final chaptersummarizesthe relevant issues that arise when one tries to incorporate the various techniques in a constraint...

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