From (34), we see that the larger α is, the smaller (frac{alpha}{alpha-1}), which controls the upper bounds of (|w^{t}-w^{t+1}|_{H}^{2}). Therefore, it seems that larger values of α are more beneficial for speeding up the convergence of SGADMM.
The use of a fixed-size, finite MM conformational ensemble enables the precise evaluation of the QM potential of mean force and its gradient within the ensemble, thus circumventing the challenges associated with statistical averaging and significantly speeding up the convergence of the optimization process.
The strategy of ϵ-dominance [ 23, 24] is introduced into MOPSO speeding up the convergence and attaining good diversity of solutions [ 25].
Experimental results demonstrate that our incremental factorizing can save a substantial amount of time by speeding up training convergence.
The addition of the PDP speeds up convergence of the algorithm and thus improves system performance, in both diagonal and zigzag approaches.
Moreover, adding pruning mechanisms speeds up the convergence of each of the heuristics further.
The use of orthogonal arrays (OA) speeds up the convergence of the algorithm and the contribution of signal to noise (S/N) ratio will result in a more appropriate response.
It speeds up convergence of the evolving active contour and seamlessly extends performance of GPAC to multidimensional images.
In particular, an iterative approach has been developed and was used to speed up the convergence of the numerical solution of the energy equation, where the large heat source term poses a computational challenge.
Second, we show that from the current density field we can obtain an accurate estimate for the complete electrostatic field which can be used to speed up the convergence of the iterative procedure of standard numerical solvers.
Both algorithms make use of Chebychev polynomial preconditioning to speed up the convergence of the IRLM.
