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Also, the influence of the mean value approximation, and other influential parameters on the accuracy of the approximation are determined via Monte Carlo simulations.
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A new heuristic algorithm is proposed based on mean-value approximation and implement fast re-optimization as a subsequence of an earlier best-fit-decrease (BFD) method.
To obtain the mean value for this Gaussian approximation, the marginal pdfs of the first eigenvalues are required, which can be obtained from (14).
Two possibilities of the time dependent diffusion coefficient probabilistic model based on coefficient variation (mean value and regression via linear approximation) are proposed.
The first two statistical moments of the stochastic parameters including design variables are considered in conjunction with the second-order perturbation method for the approximation of mean value and variance of the structural response.
For small variations, we have the linear relation and therefore, using the well known heuristic definition of the variance matrix of y as the mean value of in the linear approximation around the minimum implicitly assumed throughout crystallographic refinement, We would like to stress an important consequence of this formula: constrained parameters generally have non-zero s.u.'s.
p 50 is the median value μ ^ c of the ranked cells, which is used as the approximation to the mean value of the clutter region.
With all three approximation methods the mean value μ s → v ( k ) of the pdf of m s → v ( k ) can be estimated using Monte-Carlo simulation.
Block discrepancy is an approximation of the mean value of the -distance, calculated in DCT domain, between block and block, where is one of the blocks shown in Figure 3: (3).
Our execution semantics is based on the idea that it is possible to have a good approximation of the mean value capturing the SRT and EC led by computations and communication on concrete operations.
An algebraic expression based on the mean value theorem is used as the vehicle for an approximation tool.
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