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Dynamic Programming×रैखिक प्रोग्रामन×
क्षेत्रअनुकूलनअनुकूलन
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष19571947
प्रवर्तकRichard BellmanGeorge B. Dantzig
प्रकारExact combinatorial optimization via recursive decompositionMathematical programming / continuous optimization
मौलिक स्रोतBellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6Dantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. ISBN: 9780691059136
उपनामDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik ProgramlamaLP, linear optimization, Doğrusal Programlama (LP)
संबंधित34
सारांशDynamic 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.Linear programming (LP), pioneered by George B. Dantzig in 1947, is a mathematical method for finding the best value of a linear objective function — such as minimum cost or maximum profit — subject to a set of linear inequality and equality constraints. It is the foundational technique in operations research and underlies production planning, resource allocation, logistics, diet problems, and countless other decision-making scenarios across engineering, economics, and the natural sciences.
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ScholarGateविधियों की तुलना करें: Dynamic Programming · Linear Programming. 2026-06-15 को यहाँ से प्राप्त https://scholargate.app/hi/compare