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Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Programmation dynamique déterministe× | Programmation Linéaire Déterministe× | |
|---|---|---|
| Domaine | Simulation | Simulation |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1957 | 1947 |
| Auteur d'origine≠ | Richard E. Bellman | George B. Dantzig |
| Type≠ | Exact sequential optimization algorithm | Deterministic mathematical optimization |
| Source fondatrice≠ | Bellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516 | Dantzig, G. B. (1963). Linear Programming and Extensions. Princeton University Press, Princeton, NJ. ISBN: 9780691059136 |
| Alias | DDP, Deterministic DP, Classical Dynamic Programming, Bellman Dynamic Programming | Classical LP, Deterministic LP, DLP, Linear Optimization |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | Deterministic Dynamic Programming (DDP) is a mathematical optimization technique that decomposes a multi-stage decision problem into a sequence of simpler subproblems, solving them exactly when all system parameters — transition functions, costs, and rewards — are known with certainty. It guarantees a globally optimal policy via Bellman's principle of optimality. | Deterministic Linear Programming (DLP) is the classical form of linear programming in which all objective function coefficients, constraint coefficients, and right-hand-side values are known with certainty. It finds the optimal allocation of resources to maximize or minimize a linear objective subject to linear constraints, providing an exact, reproducible solution under fixed, certain data. |
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