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Deterministické programování s celočíselnými proměnnými×Deterministické dynamické programování×
OborSimulaceSimulace
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1958–19601957
TvůrceGomory, R. E.; Dantzig, G. B.; Land, A. H.; Doig, A. G.Richard E. Bellman
TypMathematical programming / combinatorial optimizationExact sequential optimization algorithm
Původní zdrojNemhauser, G. L., Wolsey, L. A. (1988). Integer and Combinatorial Optimization. John Wiley & Sons, New York. ISBN: 9780471359432Bellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516
Další názvyDeterministic MIP, Deterministic MILP/MIQP, Classical Mixed-Integer Programming, Deterministic MIP OptimizationDDP, Deterministic DP, Classical Dynamic Programming, Bellman Dynamic Programming
Příbuzné66
ShrnutíDeterministic Mixed-Integer Programming (MIP) is a mathematical optimization framework that finds the provably optimal solution to problems involving both continuous and integer decision variables under fully known, fixed coefficients and constraints. It is the foundational workhorse of operations research when all data are treated as certain.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.
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ScholarGatePorovnat metody: Deterministic Mixed-Integer Programming · Deterministic Dynamic Programming. Získáno 2026-06-15 z https://scholargate.app/cs/compare