# Package smile.interpolation

Interpolation is the process of constructing a function that takes on specified values at specified points.

See: Description

• Interface Summary
Interface Description
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.
• Class Summary
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.
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.

## Package smile.interpolation Description

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.