Monte Carlo simulation

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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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As discussed previously, the difference between the Kolmogoroff-Avrami method and the Monte Carlo method occurs when the growth of crystals is anisotropic.
The Monte Carlo method generally requires considerably more computational effort than law of propagation of uncertainty (LPU) and provides a mechanism for generating arbitrary deformation indicator statistics.
SEAMCAT software tool based on Monte Carlo method was used [15].
The objective of this paper was to propose a nondestructive volume measurement method using a computer vision system for food products with irregular shapes, based on the Monte Carlo method. To obtain the volume of an object, the Monte Carlo method needs only the information of whether certain generated random points fall inside or outside the object, without needing to know the surface of object.
Using Monte Carlo method the place of the facilities have been optimized and the dust effects of mobilization has been minimized.
For accurate investigation of quantum transport in semiconductors, the stochastic solution of the Boltzmann transport equation using the particle Monte Carlo method has become very popular.
A new low-temperature data set for (VI) was collected using synchrotron x-ray radiation, and details of the crystal structure determination by the Monte Carlo method are given below.
For a long time, the most usual method of arranging the trials for problems like this, which involve a very large number of objects, has been the Monte Carlo method, named with obvious reference to the famous gambling resort.
He covers mathematics of coin tossing, random number, limit theorem, and Monte Carlo method. ([umlaut] Ringgold, Inc., Portland, OR)
The subject of the contract is the delivery of a high-performance computer cluster with GPU accelerator designed for N-particle simulations in cosmology, solution of non-linear partial differential equations on the grid and estimation of parameters by Monte Carlo method using the Markov chain.
When the probability is relatively small, the number of samples required by the Monte Carlo method in order to adequately make predictions increases significantly, making the analysis difficult.
Nevertheless, in order to reduce the complexity of the binarization part the application of the Monte Carlo method is proposed.

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