org.ddogleg.optimization.functions

Interface CoupledJacobian

All Known Implementing Classes:

Individual_to_CoupledJacobian

public interface CoupledJacobian

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.

Method Detail

getN

int getN()

Number of input parameters being optimized.

getM

int getM()

Number of functions.

setInput

void setInput(double[] x)

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

Parameters:

x - Optimization parameters.

computeFunctions

void computeFunctions(double[] output)

computeJacobian

void computeJacobian(double[] jacobian)

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.

Parameters:

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