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 .
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