boofcv.alg.interpolate.array

Class PolynomialNeville_F32

java.lang.Object

boofcv.alg.interpolate.array.Interpolate1D_F32

boofcv.alg.interpolate.array.PolynomialNeville_F32

public class PolynomialNeville_F32
extends Interpolate1D_F32

Neville's algorithm for polynomial interpolation and extrapolation. Neville's algorithm improves upon Lagrange's formula by avoiding repetitive calculations.

See Numerical Recipes Third Edition page 118.

Field Summary

Fields inherited from class boofcv.alg.interpolate.array.Interpolate1D_F32

ascend, index0, M, size, x, y

Constructor Summary

Constructors

Constructor and Description
PolynomialNeville_F32(int maxDegree)
PolynomialNeville_F32(int maxDegree, float[] x, float[] y, int size)

Method Summary

Modifier and Type	Method and Description
protected float	compute(float sample) This is where the specific implementation of the interpolation is done.

Methods inherited from class boofcv.alg.interpolate.array.Interpolate1D_F32

bisectionSearch, changeDegree, hunt, process, process, setInput

Methods inherited from class java.lang.Object

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

Constructor Detail

PolynomialNeville_F32

public PolynomialNeville_F32(int maxDegree)

PolynomialNeville_F32

public PolynomialNeville_F32(int maxDegree,
                             float[] x,
                             float[] y,
                             int size)

Method Detail

compute

protected float compute(float sample)

Description copied from class: Interpolate1D_F32

This is where the specific implementation of the interpolation is done. It should use points index0 to index0 + M - 1 in its interpolation

Specified by:

compute in class Interpolate1D_F32

Parameters:

sample - Where the interpolated value is done at.

Returns:

The interpolated value at sampleX.