Sentence examples for best possible convergence from inspiring English sources

In this paper, a new method for intelligent robust control design is presented that achieves the best possible convergence rate of the system, utilizing the knowledge on the range of uncertain parameter.

Then, our approach guarantees at least that the adaptive strategy will lead to the best possible convergence behavior with respect to the computationally available a posteriori error estimator.

The CABS-flex simulation length has been optimized to obtain the best possible convergence with the 10 ns MD simulations [see details in Jamroz et al. (2013b)].

In collaboration with Prof. Robert Nowak, I demonstrated that fast and practical platelet methods effectively address both these problems, can nearly achieve theoretical lower bounds on the best possible error convergence rates, and perform very well in practice.

The best possible algebraic convergence rate 0 < s < ∞ obtained by any local mesh refinement is characterized in terms of (4.1) The statement ‖ (u, U ‖ A s < ∞ means for the optimal triangulations T ∈ T (N ), independently of the error estimator.

"It is the best possible illustration of convergence," says Mr Kallasvuo.

The smoothness of the regression function in the vicinity of the threshold determines the best possible rate of convergence using our method: a "cusp" of order k at the threshold yields a rate of N−1/ 2k+1), where N is the size/budget of the problem (total number of responses across all values of covariates).

The adaptive estimates are usually mathematically proved to achieve the best possible rate of convergence and this even if the regularity is unknown.

In Section 2, we will also provide best possible criterion for the convergence of complementary Lidstone series, and a quadrature formula with best possible error bound.

We first prove a lower bound on the best possible dimension-uniform rate of convergence one can obtain for smooth convex functions.

This is likely due to the difficulty in ascertaining a suitable set of initial values to ensure proper convergence to find the best possible GLD fit, an area where SR can provide valuable guidance and input.