AbstractSuppose u is a function on a domain Ω in Rn all of whose mth order distributional derivatives are in Lp(Ω) and m is sufficiently large to imply that u is continuous. If the values of u on a sufficiently dense, but not necessarily regular, grid of points are in lp we obtain an estimate of the Lp(Ω) norm of u in terms of the lp norm of these values and the Lp norms of its mth order derivatives. This result is useful in obtaining error estimates for certain interpolation schemes
AbstractQuasi-interpolation is an important tool, used both in theory and in practice, for the appro...
AbstractThe Bramble-Hilbert lemma is a useful tool for proving error bounds for multivariate interpo...
Lagrangian interpolation is a classical way to approximate general functions by finite sums of well c...
AbstractSuppose u is a function on a domain Ω in Rn all of whose mth order distributional derivative...
AbstractSuppose f is a distribution on Rn, all of whose kth order derivatives are in Lp(Rp) and k is...
AbstractA class of multivariate scattered data interpolation methods which includes the so-called mu...
We show how to derive error estimates between a function and its interpolating polynomial and betwe...
The following multivariate generalisation of Hardy's inequality, that for m \Gamma n=p ? 0 k x ...
AbstractWe establish several types of a a priori error bounds for multiquadric and related interpola...
AbstractQuasi-interpolation is an important tool, used both in theory and in practice, for the appro...
We show how to derive error estimates between a function and its interpolating polynomial and betwe...
AbstractFix an integer n > 0. For a multivariate function defined on a (not necessarily rectangular)...
AbstractFor the Hermite (osculatory) polynomial interpolation of a function on the interval [a, b] w...
AbstractIn this paper we investigate those radial basis functions h associated with functions whose ...
Abstract: We show how to derive error estimates between a function and its inter-polating polynomial...
AbstractQuasi-interpolation is an important tool, used both in theory and in practice, for the appro...
AbstractThe Bramble-Hilbert lemma is a useful tool for proving error bounds for multivariate interpo...
Lagrangian interpolation is a classical way to approximate general functions by finite sums of well c...
AbstractSuppose u is a function on a domain Ω in Rn all of whose mth order distributional derivative...
AbstractSuppose f is a distribution on Rn, all of whose kth order derivatives are in Lp(Rp) and k is...
AbstractA class of multivariate scattered data interpolation methods which includes the so-called mu...
We show how to derive error estimates between a function and its interpolating polynomial and betwe...
The following multivariate generalisation of Hardy's inequality, that for m \Gamma n=p ? 0 k x ...
AbstractWe establish several types of a a priori error bounds for multiquadric and related interpola...
AbstractQuasi-interpolation is an important tool, used both in theory and in practice, for the appro...
We show how to derive error estimates between a function and its interpolating polynomial and betwe...
AbstractFix an integer n > 0. For a multivariate function defined on a (not necessarily rectangular)...
AbstractFor the Hermite (osculatory) polynomial interpolation of a function on the interval [a, b] w...
AbstractIn this paper we investigate those radial basis functions h associated with functions whose ...
Abstract: We show how to derive error estimates between a function and its inter-polating polynomial...
AbstractQuasi-interpolation is an important tool, used both in theory and in practice, for the appro...
AbstractThe Bramble-Hilbert lemma is a useful tool for proving error bounds for multivariate interpo...
Lagrangian interpolation is a classical way to approximate general functions by finite sums of well c...