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Constraint Programming

Constraint Programming (CP) is a declarative optimization paradigm in which a problem is formulated as a set of variables, finite domains, and constraints, and a solver systematically searches for assignments that satisfy all constraints. Formalized comprehensively by Rossi, van Beek, and Walsh in their 2006 Handbook of Constraint Programming, CP unifies propagation-based pruning with intelligent backtracking search to tackle combinatorial problems across scheduling, planning, and configuration domains.

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Taksonomski zapis metode · process-pipeline / optimization

Rossi, F., van Beek, P., & Walsh, T. (Eds.). (2006). Handbook of Constraint Programming. Elsevier. · ISBN 978-0-444-52726-4

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Taxonomic bucketDynamic Programmingmachine-suggested · Relational suggestion, not evidence.Same method familyInteger Programmingmachine-suggested · Relational suggestion, not evidence.Same method familyTabu Searchmachine-suggested · Relational suggestion, not evidence.