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People also ask
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Is constraint programming useful?
Constraint programming (CP) is particularly useful for highly constrained problems. It is a powerful and flexible tool which makes express complex constraints relatively easy.
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Who invented constraint programming?
Constraint logic programming was introduced by Jaffar and Lassez in 1987. They generalized the observation that the term equations and disequations of Prolog II were a specific form of constraints, and generalized this idea to arbitrary constraint languages.
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How does a constraint solver work?
A Constraint Solver is a software library that is tightly integrated into programming languages like C++ and Java, allowing for the implementation of constraints over integer and integer set finite domains. It is known for pioneering the integration of constraint solving with object-oriented programming.
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What are the benefits of constraint programming?
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence (AI), operations research, algorithms, and graph theory.
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How does constraint programming work?
Constraint programming (CP) is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. In constraint programming, users declaratively state the constraints on the feasible solutions for a set of decision variables.
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