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Constraint satisfaction
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===Solving=== Constraint satisfaction problems on finite domains are typically solved using a form of [[Search algorithm|search]]. The most-used techniques are variants of [[backtracking]], [[constraint propagation]], and [[Local search (optimization)|local search]]. These techniques are used on problems with [[nonlinear]] constraints. [[Variable elimination]] and the [[simplex algorithm]] are used for solving [[linear]] and [[polynomial]] equations and inequalities, and problems containing variables with infinite domain. These are typically solved as [[Optimization (mathematics)|optimization]] problems in which the optimized function is the number of violated constraints.
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