Krahasoni metodat

	Programimi Stokastik me Numra të Plotë	Programimi Dinamik Stokastik
Fusha	Simulimi	Simulimi
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1955	1957
Krijuesi	Dantzig, G. B.; Beale, E. M. L.	Bellman, R.; formalized for stochastic settings by Puterman, M. L.
Lloji	Optimization under uncertainty with discrete decisions	Sequential optimization under uncertainty
Burimi themelues	Birge, J. R., & Louveaux, F. (1997). Introduction to Stochastic Programming. Springer, New York. ISBN: 978-1-4614-0237-4	Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780486428093
Emërtime të tjera	SIP, Stochastic IP, Integer Stochastic Programming, Mixed-Integer Stochastic Programming	SDP, Markov Decision Process, MDP, Stochastic DP
Të lidhura	6	6
Përmbledhja	Stochastic Integer Programming (SIP) is an optimization framework that combines integer (discrete) decision variables with explicit probabilistic modeling of uncertainty. It seeks the best here-and-now decision that minimizes expected cost (or maximizes expected benefit) across a distribution of future scenarios, accounting for the fact that some decisions must be made before uncertainty is resolved.	Stochastic Dynamic Programming (SDP) is a mathematical optimization framework for sequential decision problems where outcomes are partly random. It extends Bellman's principle of optimality to stochastic environments, representing problems as Markov Decision Processes (MDPs) and computing optimal policies by solving recursive value equations over states and time periods.