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Two contrasting computational schemes will be presented.
This enables development of efficient and effective computational schemes, such as the FFT.
This work considers different computational schemes for local estimation of intrinsic curvature geometric properties.
Big data driven knowledge based models and other computational schemes allows to alternate hard experimental works.
Various computational schemes for the determination of nucleation conditions from fully coalesced product microstructures are examined.
The computational schemes allow us to accurately model the mechanical behaviour of chain-link wire nets with loose connections.
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We bypassed this problem by the introduction of a parallel computational scheme which greatly increases the speed of computation.
This computational scheme explicitly finds the approximated coordinates for the embedded points and computes the Euclidean distance among them, which, for example, is implemented by diffusion maps, ISOMAP and LLE [33], [35], [36].
To explain the behavioral difference among the training conditions, we here postulate a computational scheme for visually guided reaching and then investigate the relationship between the computations and the above-mentioned experimental variables.
This paper presents a computational scheme for compressible magnetohydrodynamics (MHD).
It provides for high-speed data exchange between various computational units of the MSNS computational scheme.
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