Sentence examples for required convergence from inspiring English sources

Set the mean point as an initial point and the required convergence tolerance ε = ± 0.00001.

These velocities can cause an excessive rate of equalizer tap rotation, and hence, the required convergence rate may lead to instability of the adaptive receiver algorithms.

Moreover, (D_j gvarphi ) = gD_jvarphi +(partial _jg varphi ) as distributions, so (D_jvarphi,varphi in L^2 Rightarrow D_j gvarphi ), gvarphi in L^2) and since (||partial _j g_n||_infty le Cn^{-1}), we get the required convergence.

Convergence in the bounded strong topology also requires convergence of the adjoint.

The theory states that criminal acts require convergence in space and time of likely offenders, suitable targets and the absence of guardianship against crime [13].

Long-branch attraction does not require convergence of the sequences (Felsenstein 1978), but the over utilization of only a subset of codons may exacerbate the long branch problem by superimposing convergence on the long branch problem.

INLA presents several advantages over MCMC based inference: it provides accurate results in just a fraction of the time needed by smart MCMC algorithms, and it does not require convergence diagnostics.

Indeed imaging gastrulation in mouse embryos suggests that once cells have undergone EMT, Bra-expressing cells are pushed towards the streak in a process that appears to be passive and not require convergence and extension, as appears to be the case for frogs and fish [ 15].

This high and increasing level of tobacco use, amidst the government's efforts to enact and implement some of the effective tobacco control measures in SSA in conformity with the FCTC [ 5, 21, 34, 35], supports the thesis that the development of effective domestic tobacco control programs requires convergence of institutions, agendas, networks, socioeconomic factors and ideas [ 9].

The performance of GA is related to processing time and the number of generations required for convergence and the convergence itself.

Much better results in terms of convergence characteristics (number of iterations and time required for convergence) are obtained for PX-EM relative to the basic EM algorithm in the random regression.