Interpolation Spline


Numerical Interpolation
... three common numerical interpolations, polynomial interpolation, rational function interpolation, and cubic spline ... Curve Fitting, Interpolation, and Extrapolation: In engineering applications, data ...

Spline interpolation - Wikipedia, the free encyclopedia
In the mathematical subfield of numerical analysis, spline interpolation is a form of interpolation where the interpolant is a special type of piecewise polynomial called a spline. Spline ...

BenVista
The big issue with enlarging images is to preserve detail and sharpness, without introducing jagged (pixelized) edges and other side-effects that come with most interpolation methods. The S-Spline XL ...

Cubic Spline Interpolation
Cubic Spline Interpolation ... Cubic Spline Smoothing Up: cubic_spline Previous: cubic_spline Cubic Spline Interpolation

SPLINE - Interpolation and Approximation of Data
SPLINE is a library of C++ routines, using double precision arithmetic, for constructing and evaluating spline functions. These spline functions are typically used to

Cubic spline interpolation
Routine for polynomial interpolation and extrapolation from N input points ... Given arrays A.1,...,A.N and B.1,...,B.N containing a tabulated function with A.1

Spline Interpolation Demo
Click on and move around any of the points that are being interpolated. The curve is redrawn as points are moved. For a brief explanation of what is going on, read on.

Interpolation with Polynomials and Splines
Interpolation with Polynomials and Splines. In the applet below you can choose a number of points and see the polynomial and the natural cubic spline passing through the given points.

Cubic Spline Interpolation
The method of least squares provides, among other things, an alternative to ordinary interpolation that avoids the problem of overfitting . Another alternative is spline ...

Interpolation - Wikipedia, the free encyclopedia
The error of some other methods, including polynomial interpolation and spline interpolation (described below), is proportional to higher powers of the distance between the data points.

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