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C versions of programs use the same algorithms as the Fortran ones, involving real- and imaginary-time propagation based on a split-step Crank Nicolson method.
Hybrid versions of programs use the same algorithms as the C ones, involving real- and imaginary-time propagation based on a split-step Crank Nicolson method, but consider only a fully-anisotropic three-dimensional GP equation, where algorithmic complexity for large grid sizes necessitates parallelization in order to reduce execution time and/or memory requirements per node.
We deduce an upper bound of the localization error propagation based on orthogonally invariant norms.
One solution for this problem is non-parametric generalized belief propagation based on junction tree.
Therefore, a simulating method of crack propagation based on energy criterion is proposed.
Therefore, in this article, we propose non-parametric generalized belief propagation based on pseudo-junction tree (NGBP-PJT).
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In order to analyze the risk to product redesign, a model of the risk is introduced to predict the unexpected changes of components or sub-systems, as well as its change propagations based on Bayesian network.
With the increasingly wide use of hydraulic fracturing in the petroleum industry, it is essential to accurately predict the behavior of fracture propagations based on the understanding of fundamental mechanisms governing the process.
This phenomenon might partly be due to the less efficiency of the initial signal propagations based on functional mitochondria (Mikkelsen and Wardman, 2003).
By combining free space and modified waveguide propagation models, we propose a new hybrid propagation model based on ray tracing.
To evaluate the statistical significance of the identified signal propagation paths, we estimated the FDR of the signal propagation path based on the permutation [ 45].
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