org.ddogleg.optimization.wrap

Class Individual_to_CoupledJacobian

java.lang.Object

org.ddogleg.optimization.wrap.Individual_to_CoupledJacobian

All Implemented Interfaces:

CoupledJacobian

public class Individual_to_CoupledJacobian
extends java.lang.Object
implements CoupledJacobian

Wrapper around FunctionNtoM and FunctionNtoMxN for CoupledJacobian.

Constructor Summary

Constructors

Constructor and Description
Individual_to_CoupledJacobian(FunctionNtoM func, FunctionNtoMxN jacobian)

Method Summary

Modifier and Type	Method and Description
void	computeFunctions(double[] output)
void	computeJacobian(double[] jacobian) Processes the input parameters into the 2D Jacobian matrix.
int	getM() Number of functions.
int	getN() Number of input parameters being optimized.
void	setInput(double[] x) Specifies the input parameters.

Methods inherited from class java.lang.Object

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

Constructor Detail

Individual_to_CoupledJacobian

public Individual_to_CoupledJacobian(FunctionNtoM func,
                                     FunctionNtoMxN jacobian)

Method Detail

getN

public int getN()

Description copied from interface: CoupledJacobian

Number of input parameters being optimized.

Specified by:

getN in interface CoupledJacobian

getM

public int getM()

Description copied from interface: CoupledJacobian

Number of functions.

Specified by:

getM in interface CoupledJacobian

setInput

public void setInput(double[] x)

Description copied from interface: CoupledJacobian

Specifies the input parameters. The user can modify these values and they will be modified inside the optimization function too.

Specified by:

setInput in interface CoupledJacobian

Parameters:

x - Optimization parameters.

computeFunctions

public void computeFunctions(double[] output)

Specified by:

computeFunctions in interface CoupledJacobian

computeJacobian

public void computeJacobian(double[] jacobian)

Description copied from interface: CoupledJacobian

Processes the input parameters into the 2D Jacobian matrix. The matrix has a dimension of M rows and N columns and is formatted as a row major 1D-array. EJML can be used to provide a matrix wrapper around the output array: DenseMatrix J = DenseMatrix.wrap(m,n,output);

The user can modify the input parameters here and the optimizer must use those changes.

Specified by:

computeJacobian in interface CoupledJacobian

Parameters:

jacobian - Row major array with M rows and N columns.