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TS is the most excellent method in computational time.
It is demonstrated that the newly developed regularization method outperforms the traditional Tikhonov regularization method in computational accuracy.
Voxel-based morphometry (VBM) is a widely applied method in computational neurosciences but it is currently recommended to compare only data collected at a single MRI scanner.
Through the comparison of methods, it is revealed that distributed collaborative response surface method is superior to response surface method in computational precision and efficiency, especially for low confidence level.
The Lagrange-Galerkin method has proved a very successful method in computational fluid dynamics (CFD), in practice, but it has suffered from question marks about its stability when the integrals are approximated by quadratures.
Inferring evolutionary relationships, or phylogenies, from families of related DNA or protein sequences is a central method in computational biology.
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Neural network and fuzzy logic are important methods in computational intelligence.
In this paper, the major methods in computational probability are reviewed, and their efficacy is illustrated through two engineering examples.
Before we jump into this, we conclude in the 'Mean-field methods in computational neuroscience: a quick overview' section with a brief overview of the mean-field methods popular in computational neuroscience.
The entire time history of earthquake is going to be rebuilt through fully 3D simulations based on advanced numerical methods in computational seismology.
The BIEM has often been believed to have advantages over domain-type methods in computational accuracy when dealing with discrete inhomogeneities (e.g., Benites et al., 1992; Liu and Zhang, 2001), and in a great flexibility regarding the shapes of scatterers.
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