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Steve Riggins,
Software Deveoper
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As Monte Carlo simulations are computationally intensive, we suggest that you use workstations such as Sun SPARCstations on which you can submit background jobs and which provide high speed computation.
Simulations (Monte Carlo methods) Monte Carlo simulations use defined distributions and random numbers to simulate the behavior of a system.
Simulations (Monte Carlo methods) SoHaR has unparalleled experience in utilizing all of these techniques, individually and in combination, and can provide you with the exact set of models, analyses and solutions suitable for your project.
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Zhang Xian Qian,
Ex-Olympic Swimmer
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Monte Carlo simulations of the weighted Chinese restaurant process provide an approximation to the posterior probability of each hypothesis.
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Arthur Dawkins,
Astro-physicist
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Monte Carlo simulations and path-integral techniques for solving partial differential equations are proving useful as derivatives become more sophisticated and analytic solutions are no longer available.
Monte Carlo simulations of the energy loss by electrons of initial energy of 5 keV to 1 MeV in dry, solid DNA were performed.
The use of Monte Carlo simulations to estimate the effects of spatial variability of infiltration on the output of a distributed hydrological and erosion model.
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