AbstractOptimal numerical approximation of bounded linear functionals by weighted sums in Hilbert spaces of functions defined in a domain B ⊂ C or B ⊂ Rm, invariant in rotation or translation (e.g. circle, circular annulus, ball, spherical shell, strip of the complex plane) and equipped with inner product invariant in rotation or translation are considered. The weights and error functional norms for optimal approximate rules based on nodes located angle-equidistant on concentric spheres or circles of B, for B invariant in rotation, and on nodes located equispaced on in B lying line, for B invariant in translation, are explicitly given in terms of the kernel function of the Hilbert space. A number of concrete Hilbert spaces satisfying the re...
A general framework for function approximation from finite data is presented based on reproducing ke...
Let f be an element and S a subset of a normed linear space x. A basic Problem of approximation theo...
This paper addresses the optimal recovery of functions from Hilbert spaces of functions on the unit ...
AbstractOptimal numerical approximation of bounded linear functionals by weighted sums in Hilbert sp...
AbstractLet S be a bounded linear transformation from a. Hilbert space B to a Hilbert space Σ. Then ...
Abstract: Interpolation by translates of \radial " basis functions is optimal in the sense tha...
A reproducing kernel Hilbert space (RKHS) approximation problem arising from learning theory is inve...
: Interpolation by translates of "radial" basis functions \Phi is optimal in the sense tha...
Kernel-based methods in Numerical Analysis have the advantage of yielding optimal recovery processes...
AbstractThis paper studies optimal information and optimal algorithms in Hilbert space for an n-dime...
AbstractWithin the conventional framework of a native space structure, a smooth kernel generates a s...
We discuss the concept of inner function in reproducing kernelHilbert spaces with an orthogonal basi...
Within the conventional framework of a native space structure, a smooth kernel generates a small nat...
AbstractLet G be a Jordan domain with a boundary curve of bounded rotation; We consider approximatio...
AbstractWe study approximation of functions that may depend on infinitely many variables. We assume ...
A general framework for function approximation from finite data is presented based on reproducing ke...
Let f be an element and S a subset of a normed linear space x. A basic Problem of approximation theo...
This paper addresses the optimal recovery of functions from Hilbert spaces of functions on the unit ...
AbstractOptimal numerical approximation of bounded linear functionals by weighted sums in Hilbert sp...
AbstractLet S be a bounded linear transformation from a. Hilbert space B to a Hilbert space Σ. Then ...
Abstract: Interpolation by translates of \radial " basis functions is optimal in the sense tha...
A reproducing kernel Hilbert space (RKHS) approximation problem arising from learning theory is inve...
: Interpolation by translates of "radial" basis functions \Phi is optimal in the sense tha...
Kernel-based methods in Numerical Analysis have the advantage of yielding optimal recovery processes...
AbstractThis paper studies optimal information and optimal algorithms in Hilbert space for an n-dime...
AbstractWithin the conventional framework of a native space structure, a smooth kernel generates a s...
We discuss the concept of inner function in reproducing kernelHilbert spaces with an orthogonal basi...
Within the conventional framework of a native space structure, a smooth kernel generates a small nat...
AbstractLet G be a Jordan domain with a boundary curve of bounded rotation; We consider approximatio...
AbstractWe study approximation of functions that may depend on infinitely many variables. We assume ...
A general framework for function approximation from finite data is presented based on reproducing ke...
Let f be an element and S a subset of a normed linear space x. A basic Problem of approximation theo...
This paper addresses the optimal recovery of functions from Hilbert spaces of functions on the unit ...