Sentence examples for efficient approximations from inspiring English sources
We develop methods to facilitate practical application of the model to industrial decisions by a) enabling use of the model with typical data available to major companies and b) developing computationally efficient approximations that can be implemented easily.
A curse of dimensionality in the series expansion of the log-normal stochastic random field used to represent hydraulic conductivity provides a significant impediment to efficient approximations for large domains for all methods considered in this work, other than the Monte Carlo method.
After establishing the existence of an exact one-way equation for systems whose coefficients do not vary along the axis of integration, efficient approximations of the one-way operator are constructed by generalizing techniques previously used to create nonreflecting boundary conditions.
An extension of the PSMC to handle the analysis of multiple samples, however, is computationally challenging, and efficient approximations are being developed (Sheehan et al., 2013).
One such bicluster, a maximum bicluster, is known as a nondeterministic polynomial time (NP -complete problem that caNP -completee solved in problemial that using a nondeterministicanuring machine, 12 and a greedy search algorithm is required for actual apossiblyons to provide efficient approximations.
Although the multiple ontology integration problem has similar optimal structures, it is not feasible to extend the optimal and efficient approximation solutions for the basic problem to efficiently handle multiple ontology integration.
We introduce such an approximant, adaptive splitting based on cubature (ASBC), for the efficient approximation of continuous functions.
An efficient approximation is obtained by the reduced basis approach.
The copula parameters in the vine structure are retrieved using an efficient approximation method.
Recall that our goal is to construct an asymptotically efficient approximation of the couple (Y t,Z t ).
The analysis of Schmandt and Galán focused on an accurate, efficient approximation of Markov processes arising from ion-channel models.
