Process / pipelineMathematical programming
Dynamic Programming
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.
MethodMind'de açSoonVideoSoon
Tam yöntemi oku
Members only
Sign inSign in with a free account to read this section.
Sources
- Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6
Related methods
Referenced by
Agent-based dynamic programmingBayesian Dynamic ProgrammingBranch and BoundConstraint ProgrammingDeterministic Integer ProgrammingInteger ProgrammingMaintenance OptimizationMarkov ModelMixed-Integer ProgrammingMulti-objective dynamic programmingNonlinear ProgrammingPolicy Scenario Dynamic ProgrammingQ-LearningStochastic Dynamic Programming