Functions
void	LeastSq5ModelData.buildModel ()
	adds variables and constraints to the model

double	LeastSq5ModelData.evaluateNonlinearTerm (double[] x, int rowno, boolean ignerr, int thread)
	callback method for evaluating the nonlinear terms in a given row

void	LeastSq5ModelData.evaluateNonlinearJacobian (double[] x, double[] jac, int rowno, int[] jacnum, boolean ignerr, int thread)
	callback method for evaluating the jacobian for the nonlinear terms in a given row

void	LeastSq5ModelData.evaluateDirectionalSD (double[] x, double[] dx, double[] d2g, int rowno, int[] jacnum, int thread)
	computes the directional second derivative for a single constraint

Detailed Description

This model is similar to leastsq, but this time we define 2nd order information in the form of a 2DDir routine.

We solve the following nonlinear least squares model:

\[ \min \sum_i res_{i}^2 \!! \sum_j ( a_{ij}x_j + b_{ij}x_j^2 ) + res_i = obs_i \]

where \(a\), \(b\), and \(obs\) are known data, and \(res\) and \(x\) are the variables of the model.

For more information about the individual callbacks, please have a look at the source code.

Function Documentation

void LeastSq5ModelData.buildModel ( )

inline

adds variables and constraints to the model

Definition at line 116 of file leastsq5.java.

double LeastSq5ModelData.evaluateNonlinearTerm	(	double[]	x,
		int	rowno,
		boolean	ignerr,
		int	thread )

inline

callback method for evaluating the nonlinear terms in a given row

Parameters

x	the solution vector that needs to be evaluated.
rowno	the number for the row in which the nonlinear term exists.
ignerr	a boolean to indicate whether the current point is safe or unsafe.
thread	the index of the thread from which this method is being called from.

Notes: an error in the evaluation is reported by calling errorInEvaluation()

Definition at line 183 of file leastsq5.java.

void LeastSq5ModelData.evaluateNonlinearJacobian	(	double[]	x,
		double[]	jac,
		int	rowno,
		int[]	jacnum,
		boolean	ignerr,
		int	thread )

inline

callback method for evaluating the jacobian for the nonlinear terms in a given row

Parameters

x	the solution vector that needs to be evaluated.
jac	an array to store the Jacobian at the given point and row. This is of length numVar().
rowno	the number for the row in which the nonlinear term exists.
jacnum	vector with a list of column numbers for the nonlinear nonzero Jacobian elements in the row.
ignerr	a boolean to indicate whether the current point is safe or unsafe.
thread	the index of the thread from which this method is being called from.

Note: an error in the evaluation is reported by calling errorInEvaluation()

Definition at line 209 of file leastsq5.java.

void LeastSq5ModelData.evaluateDirectionalSD	(	double[]	x,
		double[]	dx,
		double[]	d2g,
		int	rowno,
		int[]	jacnum,
		int	thread )

inline

computes the directional second derivative for a single constraint

Parameters

x	the solution vector that needs to be evaluated.
dx	vector with the direction in which the directional second derivatives should be computed.
d2g	an array to store the directional second derivative for a single constraint at the given point and row. This is of length numVar().
rowno	the number for the row in which the nonlinear term exists.
jacnum	vector with a list of column numbers for the nonlinear nonzero Jacobian elements in the row.
thread	the index of the thread from which this method is being called from.

Note: an error in the evaluation is reported by calling errorInEvaluation()

Definition at line 230 of file leastsq5.java.