Sentence examples for dominant approximation from inspiring English sources

Three dominant approximations can be glued, using the concentration values at the times of the switching of dominant approximation as initial values for the next stage.

Dominant approximations of hierarchical linear reaction network allow us to introduce some new concepts important for the dynamics of multiscale systems.

The technique is based on a method for identification of quasi-stationary and non-oscillating species and on dominant approximations of the quasi-stationarity and averaged steady-state equations for these species.

Note that in the presence of fading, some discrepancies can be observed between the analytical results and simulations; this is due to the additional source of randomness coming from the channel coefficients, making the "dominant interferer" approximation used in the derivations less accurate.

However, in the model (6) this is not the case: the trajectory rapidly passes through the transition stages and jumps into the next dominant system approximation.

A similarity solution is then available for small x (dimensionless downstream distance) with a dominant-mode approximation valid for large x.

Newton proposed that the orbits of planets about the Sun are largely elliptical because the Sun's gravitation is dominant; to first approximation, the presence of the other planets can be ignored.

TGS True Gradient Search (for details see (11)); LISIx our algorithm with dominant terms in the approximation; LMS Least Mean Square algorithm; MMSE Off-line calculated MMSE Off-lineSquare Error solution.

The abbreviations used in the figures are as follows: (i) TGS True Gradient Search (for details see (11));   (ii) LISIx our algorithm with dominant terms in the approximation;   (iii) LMS Least Mean Square algorithm;   (iv) MMSE Off-line calculated MMSE Off-lineSquare Error solution   (v) NOEQ—BER without any equalizer;   (vi) AMBER—Adaptive Minimum Bit Error Rate algorithm [6].  .

However, we aimed to make the best approximation the dominant disturbance and its timing over this region.

The SUTT model has been developed to train and test more complex and fine LPS like needle manipulation, intracorporeal knotting, cutting and tissue approximation using both dominant and non-dominant hands.