. This paper surveys certain aspects of the study of ridge functions. We hope it will also encourage some readers to consider researching problems in this area. After first explaining what ridge functions are and giving various motivations for their study, we turn to the problem of presenting algorithms for approximating by ridge functions. We then touch upon the topic of determining the degree of approximation by ridge functions, and that of recognizing functions which are linear combinations of ridge functions. x1. Introduction This short paper is an introduction to certain aspects of the study of ridge functions. After first explaining what ridge functions are and giving various motivations for their study, we turn to the problem of pre...
International audienceWhen functional data are observed on parts of the domain, it is of interest to...
Approximation theory studies the process of approaching arbitrary functions by simple func-tions dep...
AbstractIn this paper, we find geometric means of deciding if any continuous multivariate function c...
AbstractWe consider the problem of interpolation by linear combinations of ridge functions. A ridge ...
AbstractOrthonormal ridgelets provide an orthonormal basis for L2(R2) built from special angularly-i...
Orthonormal ridgelets provide an orthonormal basis for L 2 (R 2) built from special angularly-integr...
We investigate the efficiency of approximation by linear combinations of ridge func-tions in the met...
AbstractWe study the approximation of a continuous function field over a compact set T by a continuo...
AbstractThis paper is about an inverse problem. We assume we are given a functionf(x) which is some ...
Neural Networks are widely noticed to provide a nonlinear function approximation method. In order to...
Neural networks are widely known to provide a method of approximating nonlinear functions. In order ...
The goal is to compare free (non-linear), equispaced ridge and algebraic polynomial approximations ...
Our goal is to compare the efficiencies of linear and nonlinear methods in the problem of ridge appr...
AbstractWe consider best approximation of some function classes by the manifold Mn consisting of sum...
The need to approximate general functions by simple functions is important in practice. Simple funct...
International audienceWhen functional data are observed on parts of the domain, it is of interest to...
Approximation theory studies the process of approaching arbitrary functions by simple func-tions dep...
AbstractIn this paper, we find geometric means of deciding if any continuous multivariate function c...
AbstractWe consider the problem of interpolation by linear combinations of ridge functions. A ridge ...
AbstractOrthonormal ridgelets provide an orthonormal basis for L2(R2) built from special angularly-i...
Orthonormal ridgelets provide an orthonormal basis for L 2 (R 2) built from special angularly-integr...
We investigate the efficiency of approximation by linear combinations of ridge func-tions in the met...
AbstractWe study the approximation of a continuous function field over a compact set T by a continuo...
AbstractThis paper is about an inverse problem. We assume we are given a functionf(x) which is some ...
Neural Networks are widely noticed to provide a nonlinear function approximation method. In order to...
Neural networks are widely known to provide a method of approximating nonlinear functions. In order ...
The goal is to compare free (non-linear), equispaced ridge and algebraic polynomial approximations ...
Our goal is to compare the efficiencies of linear and nonlinear methods in the problem of ridge appr...
AbstractWe consider best approximation of some function classes by the manifold Mn consisting of sum...
The need to approximate general functions by simple functions is important in practice. Simple funct...
International audienceWhen functional data are observed on parts of the domain, it is of interest to...
Approximation theory studies the process of approaching arbitrary functions by simple func-tions dep...
AbstractIn this paper, we find geometric means of deciding if any continuous multivariate function c...