Sentence examples for the numerical cost from inspiring English sources

Exact(7)

Moreover, the result has been obtained at a small fraction of the numerical cost.

They have a mechanistic interpretation and allow for analytic manipulations that greatly reduce the numerical cost of likelihood evaluation.

In this paper, a Bayesian-type methodology to solve inverse problems which relies on the reduction of the numerical cost of the forward simulation through stochastic spectral surrogate models is presented.

The present strategy permits to build numerical scheme with a higher accuracy with respect to other classical uncertainty quantification techniques, but with a strong reduction of the numerical cost and memory requirements.

This paper presents a new model of impacted structures which may be viewed as an extension of the single degree-of-freedom existing models: it allows for the dynamic behaviour of a structure and the numerical cost is low.

By smoothing all discontinuities and fine scales of the original medium, the homogenization technique considerably reduces meshing difficulties as well as the numerical cost associated with the wave equation solver, while producing the same waveform as for the original medium (up to the desired accuracy).

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Similar(53)

The benefits concern the numerical costs, the way uncertainty is included, quantified and propagated.

Both methods are explained and their accuracy levels as well as the numerical costs are assessed.

While the numerical costs of particle filters are high in general, their accuracy (in theory) can achieve any degree desired.

In "Weak scaling: proportional number of processes and size of data" section, the scaling analysis regarding the MPI process count is done with a fixed local array size for which the process overhead is negligible compared to the numerical costs.

Finally, the sigma-points come with several numerical advantages, including linear scaling of the numerical costs with respect to distributed parameters and derivative free estimation of nonlinearly mapped expectation and variance covariance.

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