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決定版整数計画法×動的計画法×
分野シミュレーション最適化
系統Process / pipelineProcess / pipeline
提唱年19581957
提唱者Ralph E. GomoryRichard Bellman
種類Exact combinatorial optimizationExact combinatorial optimization via recursive decomposition
原典Gomory, R. E. (1958). Outline of an algorithm for integer solutions to linear programs. Bulletin of the American Mathematical Society, 64(5), 275-278. DOI ↗Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6
別名DIP, Integer Programming, IP, Integer Linear ProgrammingDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama
関連53
概要Deterministic Integer Programming (DIP) is a mathematical optimization approach that finds the best solution to problems where some or all decision variables must take integer values, given fully known (deterministic) objective and constraint data. It is the classical, non-stochastic form of integer programming, foundational to operations research and combinatorial optimization since the late 1950s.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.
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  3. PUBLISHED

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ScholarGate手法を比較: Deterministic Integer Programming · Dynamic Programming. 2026-06-15に以下より取得 https://scholargate.app/ja/compare