Die Theorie der Interpolation mit Splines in einer Variablen gilt im Gegensatz zur Theorie der Interpolation mit bivariaten Splines als nahezu vollständig entwickelt. Bivariate Splines ...

This is a preview. Log in through your library . Abstract The purpose of this paper is to describe and analyze the new family of methods for bivariate interpolation first reported in [12]. Although ...

This paper is concerned with the problem of existence of monotone and/or convex splines, having degree $n$ and order of continuity $k$, which interpolate to a set of ...

Unter Extrapolation versteht man die Schätzung eines unbekannten Wertes auf der Grundlage der Erweiterung einer bekannten Folge von Werten oder Fakten. Extrapolieren bedeutet, aus vorhandenen ...

This repository contains two Python scripts that perform cubic spline interpolation on yield curve data. Both scripts achieve the same goal of interpolating yield rates for given time-to-maturity data ...

Abstract: For trajectory generation, quintic spline interpolation can ensure the zero velocities and accelerations of both the starting and ending points, presenting advantages not achievable by cubic ...

This example then specifies a smoothed spline interpolation method on the GRID statement. As shown by the following output, the resulting surface plot is smoother still. libname reflib ...

I have some time-series data that contains non-negative values (with a few zeroes). When I call the interp() method with method='linear', and pass a time corresponding exactly to one of the zero ...