mikera.vectorz.ops

Class ComposedOp

java.lang.Object

mikera.vectorz.Op

mikera.vectorz.ops.ComposedOp

All Implemented Interfaces:

ITransform, IOp

public class ComposedOp
extends Op

Field Summary

Fields

Modifier and Type	Field and Description
Op	inner
Op	outer

Method Summary

Methods

Modifier and Type	Method and Description
double	apply(double x) Applies the operator to a single value, returning the result
void	applyTo(double[] data, int start, int length)
double	averageValue()
static Op	compose(Op outer, Op inner)
static Op	create(Op a, Op b)
double	derivative(double x) Returns the derivative of this Op for a given input value x i.e.
double	derivativeForOutput(double y) Returns the derivative of this Op for a given output value y i.e.
Op	getDerivativeOp()
Op	getInverse()
boolean	hasDerivative()
boolean	hasInverse()
boolean	isBounded()
boolean	isStochastic() Returns true if the operator is stochastic, i.e returns random values for at least some inputs
double	maxValue()
double	minValue()

Methods inherited from class mikera.vectorz.Op

applyInverse, applyTo, applyTo, applyTo, applyTo, compose, constrainValues, getTransform, inputDimensions, outputDimensions, product, sum, transform, validateOutput

Methods inherited from class java.lang.Object

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

Field Detail

inner

public final Op inner

outer

public final Op outer

Method Detail

compose

public static Op compose(Op outer,
         Op inner)

create

public static Op create(Op a,
        Op b)

apply

public double apply(double x)

Description copied from interface: IOp

Applies the operator to a single value, returning the result

Specified by:

apply in interface IOp

Specified by:

apply in class Op

Returns:

applyTo

public void applyTo(double[] data,
           int start,
           int length)

Specified by:

applyTo in interface IOp

Overrides:

applyTo in class Op

isBounded

public boolean isBounded()

Overrides:

isBounded in class Op

minValue

public double minValue()

Overrides:

minValue in class Op

hasDerivative

public boolean hasDerivative()

Overrides:

hasDerivative in class Op

derivativeForOutput

public double derivativeForOutput(double y)

Description copied from class: Op

Returns the derivative of this Op for a given output value y i.e. f'(g(y)) where f is the operator, g is the inverse of f

Overrides:

derivativeForOutput in class Op

Returns:

derivative

public double derivative(double x)

Description copied from class: Op

Returns the derivative of this Op for a given input value x i.e. f'(x) where f is the operator

Overrides:

derivative in class Op

Returns:

getDerivativeOp

public Op getDerivativeOp()

Overrides:

getDerivativeOp in class Op

maxValue

public double maxValue()

Overrides:

maxValue in class Op

hasInverse

public boolean hasInverse()

Overrides:

hasInverse in class Op

isStochastic

public boolean isStochastic()

Description copied from class: Op

Returns true if the operator is stochastic, i.e returns random values for at least some inputs

Overrides:

isStochastic in class Op

Returns:

getInverse

public Op getInverse()

Specified by:

getInverse in interface IOp

Overrides:

getInverse in class Op

averageValue

public double averageValue()

Specified by:

averageValue in class Op