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Furthermore, significant computational efficiency gains over 3D finite elements are achieved for similar levels of accuracy.
The performance of this novel hybrid approach is explored for a two-species circadian model with computational efficiency gains of about one order of magnitude.
Computational efficiency gains depend on the complexity of the net benefit functions, the number of inner level Monte Carlo samples used, and the requirement or otherwise for MCMC methods to produce the posterior distributions.
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A computational efficiency gain nearly forty times is realized over that of the existing simulation procedures.
Results show that all three Subset Simulation variants are effective in high-dimensional problems and that some computational efficiency can be gained by exploiting and incorporating system characteristics into the simulation procedure.
The independence assumptions we make enable the dramatic computational efficiency that we gain by using dynamic programming, as explained in detail below.
The gain in computational efficiency was at least threefold and this gain increased with the increase of time step.
When the uncertainty is extremely localized, one can expect gains in computational efficiency of two to three orders of magnitude while only modest gains of 2 3 times are observed when half the model is uncertain.
Furthermore we use a simplified Jacobian in the cut cell regions in order to save storage and gain computational efficiency.
The main motivation behind the Fokker Planck (FP) model is computational efficiency, which could be gained due to the fact that the resulting stochastic processes are continuous in velocity space.
The main portion of the probability mass in a frame seems to originate from only a few clusters; therefore, we retained only the three highest probabilities in each frame in order to gain computational efficiency by using sparse matrices HAC features.
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