Package smile.interpolation

package smile.interpolation

Interpolation is the process of constructing a function that takes on specified values at specified points. In engineering and science, one often has a number of data points, obtained by sampling or experimentation, which represent the values of a function for a limited number of values of the independent variable. It is often required to interpolate (i.e. estimate) the value of that function for an intermediate value of the independent variable. A different problem which is closely related to interpolation is the approximation of a complicated function by a simple function.

Related Packages

Package	Description
smile.interpolation.variogram	Variogram functions.

Class	Description
AbstractInterpolation	Abstract base class of one-dimensional interpolation methods.
BicubicInterpolation	Bicubic interpolation in a two-dimensional regular grid.
BilinearInterpolation	Bilinear interpolation in a two-dimensional regular grid.
CubicSplineInterpolation1D	Cubic spline interpolation.
CubicSplineInterpolation2D	Cubic spline interpolation in a two-dimensional regular grid.
Interpolation	In numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points.
Interpolation2D	Interpolation of 2-dimensional data.
KrigingInterpolation	Kriging interpolation for the data points irregularly distributed in space.
KrigingInterpolation1D	Kriging interpolation for the data points irregularly distributed in space.
KrigingInterpolation2D	Kriging interpolation for the data points irregularly distributed in space.
LaplaceInterpolation	Laplace interpolation to restore missing or unmeasured values on a 2-dimensional evenly spaced regular grid.
LinearInterpolation	Piecewise linear interpolation.
RBFInterpolation	Radial basis function interpolation is a popular method for the data points are irregularly distributed in space.
RBFInterpolation1D	Radial basis function interpolation is a popular method for the data points are irregularly distributed in space.
RBFInterpolation2D	Radial basis function interpolation is a popular method for the data points are irregularly distributed in space.
ShepardInterpolation	Shepard interpolation is a special case of normalized radial basis function interpolation if the function φ(r) goes to infinity as r → 0, and is finite for r > 0.
ShepardInterpolation1D	Shepard interpolation is a special case of normalized radial basis function interpolation if the function φ(r) goes to infinity as r → 0, and is finite for r > 0.
ShepardInterpolation2D	Shepard interpolation is a special case of normalized radial basis function interpolation if the function φ(r) goes to infinity as r → 0, and is finite for r > 0.