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	नीति परिदृश्य गतिशील प्रोग्रामिंग	Dynamic Programming
क्षेत्र	अनुकरण	अनुकूलन
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1957	1957
प्रवर्तक	Bellman, Richard E.	Richard Bellman
प्रकार	Sequential optimization with scenario branching	Exact combinatorial optimization via recursive decomposition
मौलिक स्रोत	Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516	Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6
उपनाम	PSDP, Policy-Scenario DP, Scenario-Based Dynamic Programming, Policy DP	DP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama
संबंधित	5	3
सारांश	Policy Scenario Dynamic Programming (PSDP) applies Bellman's recursive optimization framework to a set of pre-specified policy scenarios, enabling decision-makers to compare staged, sequential decisions under distinct future conditions. It decomposes a complex, multi-period policy choice into tractable sub-problems solved backward through time, yielding optimal action sequences for each scenario and a structured basis for scenario comparison.	Dynamic Programming (DP) is an exact optimization technique introduced by Richard Bellman in 1957 for solving multi-stage decision problems. It decomposes a complex problem into simpler, overlapping subproblems, solves each subproblem once, and stores the results to avoid redundant computation. Grounded in the Principle of Optimality, DP guarantees globally optimal solutions whenever the problem exhibits overlapping subproblems and optimal substructure.