AbstractA class of multivariate scattered data interpolation methods which includes the so-called multiquadrics is considered. Pointwise error bounds are given in terms of several parameters including a parameter d which, roughly speaking, measures the spacing of the points at which interpolation occurs. In the multiquadric case these estimates are O(λ1d) as d → 0, where λ is a constant which satisfies 0 < λ < 1. An essential ingredient in this development which may be of independent interest is a bound on the size of a polynomial over a cube in Rn in terms of its values on a discrete subset which is scattered in a sufficiently uniform manner
Given a finite set of points X in R^n, one may ask for polynomials p which belong to a subspace V an...
AbstractIn this paper, we construct a univariate quasi-interpolation operator to non-uniformly distr...
: With a suitable modification at the endpoints of the range, quasi--interpolation with univariate m...
AbstractA class of multivariate scattered data interpolation methods which includes the so-called mu...
AbstractWe establish several types of a a priori error bounds for multiquadric and related interpola...
AbstractMultiquadric interpolation is a technique for interpolating nonuniform samples of multivaria...
AbstractGiven N scattered data points, we examined the problem of finding N variable Multiquadric (M...
We show how to derive error estimates between a function and its interpolating polynomial and betwe...
AbstractThe multiquadric (MQ) method is an effective bivariate interpolant to three-dimensional data...
Abstract: We show how to derive error estimates between a function and its inter-polating polynomial...
Univariate multiquadric interpolation to a twice continuously differentiable function on a regular i...
AbstractIn this paper, an equivalence between existence of particular exponential Riesz bases for sp...
We discuss a pointwise numerical differentiation formula on multivariate scattered data, based on th...
This thesis deals with generalized inverses, multivariate polynomial interpolation and approximation...
AbstractOur concern in this paper is the improvement of localization properties of multiquadric inte...
Given a finite set of points X in R^n, one may ask for polynomials p which belong to a subspace V an...
AbstractIn this paper, we construct a univariate quasi-interpolation operator to non-uniformly distr...
: With a suitable modification at the endpoints of the range, quasi--interpolation with univariate m...
AbstractA class of multivariate scattered data interpolation methods which includes the so-called mu...
AbstractWe establish several types of a a priori error bounds for multiquadric and related interpola...
AbstractMultiquadric interpolation is a technique for interpolating nonuniform samples of multivaria...
AbstractGiven N scattered data points, we examined the problem of finding N variable Multiquadric (M...
We show how to derive error estimates between a function and its interpolating polynomial and betwe...
AbstractThe multiquadric (MQ) method is an effective bivariate interpolant to three-dimensional data...
Abstract: We show how to derive error estimates between a function and its inter-polating polynomial...
Univariate multiquadric interpolation to a twice continuously differentiable function on a regular i...
AbstractIn this paper, an equivalence between existence of particular exponential Riesz bases for sp...
We discuss a pointwise numerical differentiation formula on multivariate scattered data, based on th...
This thesis deals with generalized inverses, multivariate polynomial interpolation and approximation...
AbstractOur concern in this paper is the improvement of localization properties of multiquadric inte...
Given a finite set of points X in R^n, one may ask for polynomials p which belong to a subspace V an...
AbstractIn this paper, we construct a univariate quasi-interpolation operator to non-uniformly distr...
: With a suitable modification at the endpoints of the range, quasi--interpolation with univariate m...