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Monte Carlo method
(redirected from Monte Carlo methods)

   Also found in: Medical, Wikipedia 0.02 sec.

Monte Carlo method

Statistical method of approximating the solution of complex physical or mathematical systems. The method was adopted and improved by John von Neumann and Stanislaw Ulam for simulations of the atomic bomb during the Manhattan Project. Because the method is based on random chance, it was named after a gambling resort.


Monte Carlo method

A technique that provides approximate solutions to problems expressed mathematically. Using random numbers and trial and error, it repeatedly calculates the equations to arrive at a solution. Many of the Monte Carlo methods and practices used to be referred to as rather generic "statistical sampling." Monte Carlo, of course, is a historical reference to the famous casino in Monaco.


Monte Carlo method [′män·tē ′kär·lō ‚meth·əd]
(statistics)
A technique which obtains a probabilistic approximation to the solution of a problem by using statistical sampling techniques.


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A quantitative analysis of the epidemiological data using internal dose and Monte Carlo methods.
The uncertainty about how subtle, hidden patterns among digits spewed out by various random-number generators may influence simulation results presents researchers using so-called Monte Carlo methods with a serious dilemma, especially when the answer is not known.
Some of the more common OR techniques are linear programming and formulations with trendy names like probability theory, queuing theory, Monte Carlo Methods and game theory (which is frequently referred to as simulation).
 
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