dev.nm.analysis.curvefit.interpolation.multivariate

Class RecursiveGridInterpolation

java.lang.Object

dev.nm.analysis.curvefit.interpolation.multivariate.RecursiveGridInterpolation

All Implemented Interfaces:

MultivariateGridInterpolation

Direct Known Subclasses:

MultiCubicSpline, MultiLinearInterpolation

public class RecursiveGridInterpolation
extends Object
implements MultivariateGridInterpolation

This algorithm works by recursively calling lower order interpolation (hence the cost is exponential), until the given univariate algorithm can be used when the remaining dimension becomes one. This general algorithm, together with any given univariate interpolation algorithm, works for an arbitrary number of dimensions.

Constructor Summary

Constructors

Constructor and Description
RecursiveGridInterpolation(Interpolation univariate) Constructs an n-dimensional interpolation using a given univariate interpolation algorithm.

Method Summary

Modifier and Type	Method and Description
RealScalarFunction	interpolate(MultivariateGrid grid) Construct a real valued function from a grid of observations.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

RecursiveGridInterpolation

public RecursiveGridInterpolation(Interpolation univariate)

Constructs an n-dimensional interpolation using a given univariate interpolation algorithm.

Parameters:

univariate - a univariate interpolation algorithm

Method Detail

interpolate

public RealScalarFunction interpolate(MultivariateGrid grid)

Description copied from interface: MultivariateGridInterpolation

Construct a real valued function from a grid of observations.

Specified by:

interpolate in interface MultivariateGridInterpolation

Parameters:

grid - the grid of observations

Returns:

the interpolated function