We study approximation of univariate functions deened over the reals. We assume that the rth derivative of a function is bounded in a weighted L p norm with a weight. Approximation algorithms use the values of a function and its derivatives up to order r ? 1. The worst case error of an algorithm is deened in a weighted L q norm with a weight. We study the worst case (information) complexity of ...

In this study, we introduce a new cubic B-spline (CBS) approximation method to solve linear two-point boundary value problems (BVPs). This is based on basis functions with for the second-order derivative. The theoretical derivative and error analysis have been successfully derived. We found that was O(h3) accurate. By using approximation, proposed O(h5) Four numerical consisting of ordinary dif...

In this paper a theoretical framework for the Galerkin finite element approximation to the steady state fractional advection dispersion equation is presented. Appropriate fractional derivative spaces are defined and shown to be equivalent to the usual fractional dimension Sobolev spaces H. Existence and uniqueness results are proven, and error estimates for the Galerkin approximation derived. N...

Global Moran’s I and local Moran’s Ii are the most commonly used test statistics for spatial autocorrelation in univariate map patterns or in regression residuals. They belong to the general class of ratios of quadratic forms for whom a whole array of approximation techniques has been proposed in the statistical literature, such as the prominent saddlepoint approximation by Offer Lieberman (199...

Abstract In this paper, we look at the general form of two-point quadrature formulas, which doesn’t have to be symmetric. Under convexity constraint first derivative, propose a new scheme that gives best approximation rules.

A numerical solution for neutral delay fractional order partial differential equations involving the Caputo derivative is constructed. In line with this goal, drift term and time are discretized by a finite difference approximation. The energy method used to investigate rate of convergence unconditional stability temporal discretization. interpolation moving Kriging technique then approximate s...

in this paper we introduce the root of a fuzzy number, and we present aniterative method to nd it, numerically. we present an algorithm to generatea sequence that can be converged to n-th root of a fuzzy number.

Introduction. The primary purpose of this note is to construct a C* Lyapunov function for a continuous vector field which has an asymptotically stable invariant set. Since there already exist techniques for constructing continuous Lyapunov functions with continuous derivatives by the vector field, our problem is simply to smooth such a function in such a way that the desired derivative properti...