error estimate 
Stability in lnorm and error estimate in I2norm are obtained.


By using the elliptic RitzVolterra projection, the analysis of the error estimates for the finite element numerical solutions and the optimal H1norm error estimate are demonstrated.


Calculation of maximum value of twicedifferentiable function with a posteriori error estimate


An error estimate is derived, and an a priori choice of the regularization parameters is described.


An error estimate is obtained for the stable approximate solution obtained by solving a set of linear algebraic equations for the wavelet coefficients of the desired solution.


The angle error estimate method in the wide swath SAR basing on multireceiver


The error estimate obtained indicated the convergent order when we use f(x)>amp;lt;ε to stop computation in software.


Error estimate for the Jacobi method adapted to the weak row sum resp.


This allows to obtain an optimal error estimate, also verified by numerical experiments.


An error estimate is given and pointwise convergence of the approximate inverse to the exact solution is proved.


We present computational results for three dimensional inverse scattering and use an adaptive mesh refinement algorithm based on an a posteriori error estimate, to improve the accuracy of the identification.


A particular case of the derived error estimate improves upon similar results obtained recently by Rieder and Schuster (2000).


This paper investigates an error estimate proposed by Warnock and studied by Halton (2005).


That error estimate is simply the sample standard error applied to certain nonrandomized quasiMonte Carlo points.


The error estimate is shown to be the best possible.


We show that method is optimal of the first order in the error estimate.


We prove an optimal error estimate and give illustrative numerical example.


Based on Bernstein's Theorem, Kalandia's Lemma describes the error estimate and the smoothness of the remainder under the second part of H?lder norm when a H?lder function is approximated by its best polynomial approximation.


The convergence and optimal error estimate for the approximate solution and numerical experiment are provided.


Thus, by postprocessing operators and, we have obtained the following local superconvergence error estimate: where 0≤r≤2 andk≥1.

