Interpolation by positive harmonic functions

A natural interpolation problem in the cone of positive harmonicfunctions is considered and the corresponding interpolatingsequences are geometrically described.     

Interpolation by sums of radial functions

Summary We develop multivariate interpolation methods constructed from sums of radial functions.Dedicated to Professor G. Hämmerlin with esteem on the occasion of his sixtieth birthdayThis work was supported by the USA-Israel Binational, Science Foundation Grant no. 86-00243     

Interpolation by universal,hypercyclic functions

In the present article we study an interpolation problem for classes of analytic functions, in a systematic manner. More precisely, we provide sufficient conditions so that proper and “big”, in the Baire category sense, subclasses of analytic functions have an interpolation property at an infinite set of points. We then apply our main theorems to several classes of universal, hypercyclic functions.     

Interpolation by L-spline functions of many variables

The choice of function space allows us to make conclusions in the multidimensional case that are analogous to results in the theory of spline functions of one variable. We establish the minimum norm property, the existence and uniqueness of a solution of the interpolation problem, the property of best approximation, and the convergence of interpolation processes.Translated from Matematicheskie Zametki, Vol. 14, No. 1, pp. 11–20, July, 1973.     

Interpolation by hypercyclic functions for differential operators

We prove that, given a sequence of points in a complex domain Ω without accumulation points, there are functions having prescribed values at the points of the sequence and, simultaneously, having dense orbit in the space of holomorphic functions on Ω. The orbit is taken with respect to any fixed nonscalar differential operator generated by an entire function of subexponential type, thereby extending a recent result about MacLane-hypercyclicity due to Costakis, Vlachou and Niess.     

Interpolation by neural network operators activated by ramp functions

In this paper, a family of interpolation neural network operators are introduced. Here, ramp functions as well as sigmoidal functions generated by central B-splines are considered as activation functions. The interpolation properties of these operators are proved, together with a uniform approximation theorem with order, for continuous functions defined on bounded intervals. The relations with the theory of neural networks and with the theory of the generalized sampling operators are discussed.     

Interpolation of random functions

Summary Error bounds for the interpolation of random functions are derived. On contrast to various results in the literature, no additional assumptions such as stationarity are required.Dedicated to the memory of Professor Lothar Collatz     

Interpolation and vector-valued functions

Let A be a subspace of C(X), and let K ? X be an interpolation set for A. Let F be a Banach space. We study the following question: When is K a set of interpolation for A ? F, a space of vector-valued functions naturally associated with A ?     

Interpolation of rational functions by simple partial fractions

We study a generalized interpolation of a rational function at n nodes by a simple partial fraction of degree n and reduce the consideration to the solvability question for a special difference equation. We construct explicit interpolation formulas in the case where the equation order is equal to 1. We show that for functions A(x − a) ^m , m ? \mathbbN m \in \mathbb{N} , it is possible to reduce the consideration to a system of m + 1 independent first order equations and construct explicit interpolation formulas. Bibliography: 6 titles.     

Interpolation of functions by the least squares method

We study the norm of a best quadratic trigonometric approximation operator on a finite uniform grid. Dedicated to the memory of my scientific adviser, Professor S. B. Stechkin Translated fromMatematicheskie Zametki, Vol. 66, No. 3, pp. 372–379, September, 1999.