Package jdistlib.math.approx

Class ApproximationFunction

java.lang.Object

jdistlib.math.approx.ApproximationFunction

All Implemented Interfaces:

UnivariateFunction

public class ApproximationFunction
extends Object
implements UnivariateFunction

Create an approximation function. This is pretty much like R's approxfun. I'm emulating it here. I don't deal with NaN and Infinity. I don't do sanity check and no uniqueness check here. So, watch out.

Field Summary

Fields

Modifier and Type	Field	Description
protected double	mCompromise
protected double	mHi
protected double	mLo
protected ApproximationType	mType
protected double[]	mX
protected double[]	mY

Constructor Summary

Constructors

Constructor	Description
ApproximationFunction(ApproximationType t, double[] x, double[] y, double lo, double hi, double compromise)

Method Summary

Modifier and Type	Method	Description
static final double	constant(double v, double[] x, double[] y, double lo, double hi, double compromise)	Constant approximation
double	eval(double x)
static final double	linear(double v, double[] x, double[] y, double lo, double hi)	Linear approximation
void	setObjects(Object... obj)
void	setParameters(double... params)

Methods inherited from class java.lang.Object

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

Field Details

mX

protected double[] mX

mY

protected double[] mY

mLo

protected double mLo

mHi

protected double mHi

mCompromise

protected double mCompromise

mType

protected ApproximationType mType

Constructor Details

ApproximationFunction

public ApproximationFunction(ApproximationType t,
 double[] x,
 double[] y,
 double lo,
 double hi,
 double compromise)

Method Details

eval

public double eval(double x)

Specified by:

eval in interface UnivariateFunction

setParameters

public void setParameters(double... params)

Specified by:

setParameters in interface UnivariateFunction

setObjects

public void setObjects(Object... obj)

Specified by:

setObjects in interface UnivariateFunction

linear

public static final double linear(double v,
 double[] x,
 double[] y,
 double lo,
 double hi)

Linear approximation

Parameters:

v -

x -

y -

lo -

hi -

Returns:

Approximated value

constant

public static final double constant(double v,
 double[] x,
 double[] y,
 double lo,
 double hi,
 double compromise)

Constant approximation

Parameters:

v -

x -

y -

lo -

hi -

compromise -

Returns:

Approximated value