RadialBasis.HardyMultiquadric (JMSL Numerical Library)

Overview

Package

Class

Tree

Index

Help

JMSL^TM Numerical Library 6.1

PREV CLASS NEXT CLASS

FRAMES NO FRAMES

SUMMARY: NESTED | FIELD | CONSTR | METHOD

DETAIL: FIELD | CONSTR | METHOD

com.imsl.math
Class RadialBasis.HardyMultiquadric

java.lang.Object
  com.imsl.math.RadialBasis.HardyMultiquadric

All Implemented Interfaces:: RadialBasis.Function

Enclosing class:: RadialBasis

public static class RadialBasis.HardyMultiquadric
extends Object
implements RadialBasis.Function
extends Object
implements RadialBasis.Function

The Hardy multiquadric basis function, $sqrt{r^2+delta^2}$ .

See Also:: Example

Constructor Summary
`RadialBasis.HardyMultiquadric(double delta)` Creates a Hardy multiquadric basis function $sqrt{r^2+ delta^2}$ .

Method Summary
`double`	`f(double x)` A Hardy multiquadric basis function.
`double`	`g(double x)` The derivative of the Hardy multiquadric basis function used to calculate the `gradient` of the radial basis approximation.

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

RadialBasis.HardyMultiquadric

public RadialBasis.HardyMultiquadric(double delta)

Creates a Hardy multiquadric basis function $sqrt{r^2+ delta^2}$ .

Parameters:: delta - a double specifying the value of the function parameter. Increasing the multiquadric parameter decreases fitting-error but generally increases computational effort. The default value is 1.0.

Method Detail

f

public double f(double x)

A Hardy multiquadric basis function.

Specified by:: f in interface RadialBasis.Function

Parameters:: x - a double, the point at which the function is to be evaluated
Returns:: a double, the value of the function at x

g

public double g(double x)

The derivative of the Hardy multiquadric basis function used to calculate the gradient of the radial basis approximation.

Specified by:: g in interface RadialBasis.Function

Parameters:: x - a double, the point at which the function is to be evaluated
Returns:: a double, the value of the function at x