Sentence examples for approximation of the full from inspiring English sources

3, we present the reduced 2-unit model and describe the conditions under which the reduced model is an accurate approximation of the full attractor network model.

In other words, (1) by applying the direct expansion method, the sorter can be eliminated in stage 4, and (2) the 2D sorter is an acceptable approximation of the full sorter.

Then, starting from just temperature and major species, a constrained homogeneous constant pressure, constant temperature reactor calculation gives an approximation of the full thermochemical state at each sample location along the line.

Our method is made efficient by means of a coarse solver defined with large time step and fixed position control rods model, while the fine propagator is assumed to be a high order numerical approximation of the full model.

However, the AUC-2 mean absolute percentage difference between the full arterial sampling IF and the POP-IF was 1.5% (± 0.6%) using POP-IF7, 3.5% (± 2.5%) using POP-IF5 and 5.3% (± 2.6%) using POP-IF3, indicating that the POP-IFs provide a reasonable approximation of the full arterial sampling IF in the latter part of the curve.

The subsystem is a valid approximation of the full system if the conditions for term dominance are satisfied.

The approaches we present in this study require only a few justified approximations of the full megamap model, and the simplicity of the results make the analysis useful in understanding the behavior of the megamap.

Proteomics, if it works, will yield at least an approximation to the full set of human proteins.

However, the BER performance would be degraded in higher time-varying fading channels due to the approximation for the full elements of CFR matrix by the banded matrix.

However, challenges remain in ensuring that ABC leads to reasonable approximation to the full posterior distribution of SM parameters θ.

With increasing number of metabolic species within the pathway, the derivative process approach might become computationally costly due to the inference of a large number of hyper-parameters and a matrix inversion step; however, this limitation potentially might be addressed by considering a sparse approximation for the full covariance matrix of all metabolic species (Alvarez and Lawrence, 2009).