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Dynamic Programming

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Computer Vision
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Synonyms

Dynamic optimization

Related Concepts

Inductive definition Recursion “Divide-and-conquer” algorithm

Definition

Dynamic programming is a paradigm used in algorithms for solving optimization problems. It relies on the construction of nested subproblems such that the solution of the main problem can be obtained from the solutions of the subproblems.

Background

The paradigm was introduced by the mathematician Richard Bellman in the 1940s and applied in control theory [1].

Theory

The applicability of the paradigm relies on the following two assumptions.

Optimal substructure means that a system of nested subproblems can be constructed in such a way that the solution of the main problem can be obtained from the solutions of these subproblems.

Overlapping subproblems mean that the smaller subproblems in the next level are only slightly smaller, and moreover the set of these subproblems is small as well. This distinguishes DP from “divide-and-conquer” methods.

The method starts by...

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References

  1. Bellman R (2003) Dynamic programming. Dover, Mineola

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  2. Denardo EV (2003) Dynamic programming: models and applications. Dover, Mineola

    MATH  Google Scholar 

  3. Sniedovich M (2010) Dynamic programming: foundations and principles. Taylor and Francis, Boca Raton

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Correspondence to Boris Flach .

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Flach, B., Hlavac, V. (2020). Dynamic Programming. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_690-1

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  • DOI: https://doi.org/10.1007/978-3-030-03243-2_690-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03243-2

  • Online ISBN: 978-3-030-03243-2

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