Sentence examples for stable approximation from inspiring English sources

In this paper, we will present a modified kernel method to construct a stable approximation solution of the TFIDP.

We also study the different terms composing the Hessian and propose some stable approximation to the continuous Hessian.

In addition, the proposed method can provide more efficient and numerically stable approximation of the true loads, compared with the Landweber iteration method.

In this paper, we propose a modified kernel method for solving time-fractional inverse diffusion problem by producing a stable approximation solution.

We found a stable approximation to the limiting χ 2-distribution for sample sizes of at least 500 and 10 items.

In this contribution we explain how this method can be considered as a real Helmholtz decomposition and we present a stable approximation in the framework of spectral methods.

The operators are based on the same norms as the corresponding approximations of the first derivative, which makes the construction of stable approximations to general parabolic problems straightforward.

We accomplish our hybridizations through the use of a bounding principle: the approximation used is bounded by two nonlinearly stable approximations.

The essential aspect of the method is to have high-order accurate approximations bounded by two non-oscillatory (nonlinearly stable) approximations.

For a large class of orthogonal basis functions, there has been a recent identification of expansion methods for computing accurate, stable approximations of a quantity of interest.

Then, suitable rational stable approximations of the optimal solution are derived either by means of causal filters or, when a preview of the reference signal is available, by means of noncausal FIR filters.