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分野シミュレーションシミュレーション
系統Process / pipelineProcess / pipeline
提唱年19471955
提唱者George B. DantzigGeorge B. Dantzig
種類Deterministic mathematical optimizationStochastic optimization model
原典Dantzig, G. B. (1963). Linear Programming and Extensions. Princeton University Press, Princeton, NJ. ISBN: 9780691059136Dantzig, G. B., & Madansky, A. (1961). On the solution of two-stage linear programs under uncertainty. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, 1, 165–176. link ↗
別名Classical LP, Deterministic LP, DLP, Linear OptimizationSLP, Stochastic LP, Linear Programming under Uncertainty, Two-Stage SLP
関連55
概要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.Stochastic Linear Programming (SLP) extends classical linear programming to settings where some model parameters — costs, demands, resource availability — are uncertain and modeled as random variables. By optimizing expected costs over a probability distribution of scenarios, SLP produces decisions that remain feasible and near-optimal across a range of possible futures rather than for a single assumed state of the world.
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ScholarGate手法を比較: Deterministic Linear Programming · Stochastic Linear Programming. 2026-06-15に以下より取得 https://scholargate.app/ja/compare