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Monte Carlo Simulation
(redirected from Monte Carlo method)

   Also found in: Dictionary/thesaurus, Medical, Acronyms, Encyclopedia, Wikipedia 0.01 sec.
Monte Carlo simulation
An analytical technique for solving a problem by performing a large number of trail runs, called simulations, and inferring a solution from the collective results of the trial runs. Method for calculating the probability distribution of possible outcomes.

Monte Carlo Simulation
A computer simulation that seeks to determine the likelihood of various scenarios by running multiple simulations using random variables. The results of the Monte Carlo simulation show the most likely outcomes.

Monte Carlo simulation. A Monte Carlo simulation can be used to analyze the return that an investment portfolio is capable of producing. It generates thousands of probable investment performance outcomes, called scenarios, that might occur in the future.

The simulation incorporates economic data such as a range of potential interest rates, inflation rates, tax rates, and so on. The data is combined in random order to account for the uncertainty and performance variation that's always present in financial markets.

Financial analysts may employ Monte Carlo simulations to project the probability of your retirement account investments producing the return you need to meet your long-term goals.



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Readers might include electrical and electronics engineers, students, and researchers who are interested in applying Monte Carlo methods to electromagnetic computation and have completed an introductory course on numerical analysis that includes finite difference method.
In this regard, the Monte Carlo method is only a tool that allows informed decision maker's to apply their insight and knowledge to estimate project risk.
MONTE CARLO SIMULATION OF PHOTODEGRADATION The Monte Carlo method is a technique for modeling the evolution of a system whose final state is due to the repeated application of many small events.
 
 
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