Hiroaki Morimoto has written: 'Stochastic control and mathematical modeling' -- subject(s): Stochastic control theory, Optimal stopping (Mathematical statistics), Stochastic differential equations
Tapio Westerlund has written: 'Application of stochastic control theory to the dry cement manufacturing process' -- subject(s): Cement industries, Production control, Stochastic control theory
Yaakov Yavin has written: 'Feedback strategies for partially observable stochastic systems' -- subject(s): Feedback control systems, Stochastic systems
Stochastic Models was created in 1985.
James S. Meditch has written: 'Stochastic optimal linear estimation and control'
G. Adomian has written: 'Stochastic systems' -- subject(s): Stochastic differential equations, Stochastic systems
Mustafa Karakul has written: 'Combined pricing and procurement decisions in stochastic inventory control theory'
Wikipedia states that stochastic means random. But there are differences depending on the context. Stochastic is used as an adjective, as in stochastic process, stochastic model, or stochastic simulation, with the meaning that phenomena as analyzed has an element of uncertainty or chance (random element). If a system is not stochastic, it is deterministic. I may consider a phenomena is a random process and analyze it using a stochastic simulation model. When we generate numbers using a probability distribution, these are called random numbers, or pseudo random numbers. They can also be called random deviates. See related links.
C. W. Gardiner has written: 'Handbook of Stochastic Methods' 'Stochastic methods' -- subject(s): Stochastic processes 'Quantum noise' -- subject(s): Stochastic processes, Quantum optics, Josephson junctions
D. E. Johansen has written: 'Optimal control of linear stochastic systems with complexity constraints'
Quan-Lin Li has written: 'Constructive computation in stochastic models with applications' -- subject(s): Stochastic processes, Stochastic models
monte carlo simulation is used to give solutions of deterministic problems whereas stochastic simulation is used for stochastic problems.