Title: Least squares methods for high dimensional approximation
Abstract: In this paper we present the least-squares method for approaching a function that depends on a high number of parameters. We first go to some results on the stability and approximation error of estimators in the sense of standard and weighted least-squares. Then we will discuss the development of algorithms in a non-adaptive or adaptive framework, to bring together functions with real values or values in a Hilbert space.
