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

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

void	LeastSqModelData.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

Detailed Description

Solves a nonlinear least squares model.

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 LeastSqModelData.buildModel ( )

inline

adds variables and constraints to the model

Definition at line 116 of file leastsq.java.

double LeastSqModelData.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 180 of file leastsq.java.

void LeastSqModelData.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 206 of file leastsq.java.