monte carlo simulation is used to give solutions of deterministic problems whereas
stochastic simulation is used for stochastic problems.
basically Monte carlo simulation was named after world war -2 by j. von newmann to solve real world problems
From -
kapil
M.tech Student
monte carlo simulation is used to give solutions of deterministic problems whereas stochastic simulation is used for stochastic problems.
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.
Any simulation model that does not contain any random or probabilistic element is called a deterministic simulation model. The characteristic of this type of simulation model is that the output is determined when the set of input elements and properties in the model have been specified. For example, a deterministic simulation model can represent a complicated system of differential equations. Many simulation models however, have at least one element that is random, which gives rise to the stochastic simulation model. In most simulation models randomness is important to mimic the real scenario, for example user connections to the internet arise 'randomly' when a person pressing a key. However, for any stochastic simulation model that has random output, the output (numerical results) can only be treated as an estimate of the true output parameters of the model
There is no difference.
simulator is an algorithm used to simulate the process of a system...
I don't know the answer I am looking for the answers too. :) I'm only 41.
Operation research is tool/technique for solving the problems such as economics, queuing theory, mathematical optimization, simulation and stochastic models etc. Operation management is concerns management of production (transformation) system, system design, operation, improvement, systematic analysis of organizational process.
Mathematical model is exact in nature.it has Beta zero and Beta one and no stochastic or disturbance variables. Econometric model represents omitted variable, error in measurement and stochastic variables.
No I don't know... Plz give me the right answer
Discrete simulation systems records events at regular time intervals when a simulation component generates output. Continuous simulation systems record events on a nearly continuous basis, using a relatively small time unit between event recordings. Discrete simulation is usually faster while still providing an accurate picture of the system's behavior.
There is a slight difference between a response and a tropism. Response is simply any form of reaction to simulation while tropism refers to the directional movement response in plants.
Similarity: Both show that the radioactive atoms decrease and decayed atoms increase Difference: an actual decay is longer.