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(ON.1) is an inevitable assumption, when working on the physics of computation, since computer science must necessarily take into account the physical properties and limits of the data carriers.
Firstly, we combine motion estimation and compensation in a single energy formulation and such formulation improves the quality of interpolated frame with less computation since we do not compute forward and backward optical flow.
This method improves the singular perturbation method, it offers considerable reduction and simplicity in computation since it does not require to compute boundary layer correction solutions.
For simulations, a replicated mask reduces computation since only a few matrix inverses must be computed (one for each shift of the mask) and then applied to all of the patches.
Prof. Du currently serves as a Section Editor (since 2015) and an associated editor of SIAM Journal of Applied Mathematics (since 2012), SIAM Journal of Numerical Analysis (since 2003), Mathematics of Computation (since 2016) and 12 other international journals.
However, a further increase of parallel computational threads does not bring any benefit in the form of faster computation since the processor does not have the available resources (cores) which could be used by other threads.
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Unfortunately, a fault in the computation has since been discovered by the authors (T.W., unpublished).
It is crucial to optimize stencil computations since they are the core (and most computational demanding segment) of many Scientific Computing applications, therefore reducing overall execution time.
However, computing with T2 FSs can require undesirably large amount of computations since it involves numerous embedded T2 FSs.
Currently, our focus is on dense and sparse matrix computations, since these are the most time-consuming parts of most simulations.
The model is presented as a challenging system for equilibrium computations, since many metastable equilibria with two or three phases can be found in the vicinity of the five-phase condition.
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