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Showing 1 to 8 of 8 for “"Variance Reduction Technique"”.
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Monte Carlo modeling and variance reduction technique applications for heavily shielded geometries in the decommissioning of nuclear power plants
L'abstract è presente nell'allegato / the abstract is in the attachment
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Kernel method in Monte Carlo importance sampling
… of structural systems using a Monte Carlo variance reduction technique called the Importance Sampling is presented. Since the efficiency of the importance sampling method depends primarily on the choice of the importance sampling density, the use of the kernel method to estimate the optimal …
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Discontinuous Galerkin solution of the Boltzmann equation in multiple spatial dimensions
… particular, it investigates alternative solution techniques for the Boltzmann equation typically used when the Knudsen number (ratio of molecular mean free path to characteristic length scale of flow) exceeds (approximately) 0.1. Alternative solution methods are required because the prevalent …
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Application of quantum Monte Carlo methods to homogeneous electron and electron-hole systems
… (HEG) is then reported, where the relatively new technique of twist averaging is investigated in detail and accurate energies and pair correlation functions are obtained over densities $r_s = 0.5 – 20$ a.u. and the full range of spin-polarisation, allowing comparison with the Perdew-Zunger …
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Mean reaction rate closures for nanoparticle formation in turbulent reacting flow
… that make DQMoM-IEM numerically challenging. A variance reduction technique using antithetic sampling is introduced to increase the efficiency of the SF method. However, DQMoM-IEM is shown to remain competitive for the test problem considered. A new methodology is presented to couple a detailed …
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Risk Management of Cascading Failure in Composite Reliability of a Deregulated Power System with Microgrids
… simulations, we make use of importance sampling techniques utilizing the Weibull distribution when modeling power generator outages. Another computing time reduction is achieved by applying importance sampling together with antithetic variates. It is shown that both methods noticeably reduce the …
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Improvements and applications of the Uniform Fission Site method in Monte Carlo
… large computational resources are needed. Variance reduction methods have been developed in order to reduce the computational resources required to obtain results in a practical amount of time. This work seeks to expand research in the Uniform Fission Site (UFS) method, a variance reduction …
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An Efficient Method to Assess Reliability under Dynamic Stochastic Loads
… idea of Importance Sampling. That is the main variance reduction technique, which is used to lower the computational cost of Monte Carlo simulation. The proposed method extends the application of the Probabilistic Re-analysis, which has already been applied to static problems, to dynamic …