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Exact algorithm
From Wikipedia, the free encyclopedia
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In computer science and operations research, exact algorithms are algorithms that always solve an optimization problem to optimality.
Unless P = NP, an exact algorithm for an NP-hard optimization problem cannot run in worst-case polynomial time. There has been extensive research on finding exact algorithms whose running time is exponential with a low base.[1] [2]
See also
- Approximation-preserving reduction
- APX is the class of problems with some constant-factor approximation algorithm
- Heuristic algorithm
- PTAS - a type of approximation algorithm that takes the approximation ratio as a parameter
References
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