Sentence examples for expensive approximation from inspiring English sources

This paper studies computational aspects of Krylov methods for solving linear systems where the matrix vector products dominate the cost of the solution process because they have to be computed via an expensive approximation procedure.

Note that the number of points K is not a parameter in the model but affects the computation, with a larger K producing more accurate but computationally more expensive approximation.

avoids expensive numerical approximation of steady states and can be scaled to high-dimensional models.

Maximum likelihood training is computed by evaluating equation which takes linear time while other classifiers take expensive iterative approximation.

reveals boundaries of stability, valid for a class of models and robust against uncertainties in specific models avoids expensive numerical approximation of steady states and can be scaled to high-dimensional models.

In this work, we propose a mixed dual-scale Galerkin method, in which the degrees-of-freedom of a less computationally expensive coarse-scale approximation are linked to the degrees-of-freedom of a base DG approximation.

With both Tamra Barney from "Orange County" and NeNe Leakes from "Atlanta" tying the knot on their own spinoff specials -- "Tamra's OC Wedding" and "I Dream of NeNe," respectively -- and Adriana De Moura and Joanna Krupa having dueling weddings this season on "Real Housewives of Miami," love (or at least a public and very expensive, corporate-sponsored approximation of love) is in the air.

State-of-the-art methods for protein domain detection, like HMMER [ 6], are computationally expensive and several approximation techniques have been suggested to accelerate the model based prediction of protein domains.

Here, to approximate the first component of (A1) a simplified Laplace approximation (less expensive from a computational point of view with only a slight loss of accuracy) was used [ 62- 64].

To figure out the exact contours of the board — the probability distribution — the algorithm rolls the die at each turn and alternates between using the computationally expensive model and the approximation.

(a) Query-driven approximation For an expensive query class (mathcal{Q}), we can approximate its queries by adopting a cheaper class (Q') of queries.