bool derivative(
	double[] theta,
	int iobs,
	double[] frq,
	double[] wt,
	double[] de
)

Function derivative ( 
	theta As Double(),
	iobs As Integer,
	frq As Double(),
	wt As Double(),
	de As Double()
) As Boolean

bool derivative(
	array<double>^ theta, 
	int iobs, 
	array<double>^ frq, 
	array<double>^ wt, 
	array<double>^ de
)

abstract derivative : 
        theta : float[] * 
        iobs : int * 
        frq : float[] * 
        wt : float[] * 
        de : float[] -> bool 

Parameters

theta

Type:System.Double[]
An input double array which contains the parameter values of the regression function.

iobs

Type: System.Int32
An input int value indicating the observation index.

frq

Type:System.Double[]
An output double array of length 1 containing the frequency for observation y[iobs].

wt

Type:System.Double[]
An output double array of length 1 containing the weight for the observation y[iobs].

de

Type:System.Double[]
An output double array containing the partial derivatives of the error (residual) for observation y[iobs].

Return Value

The length of theta corresponds to the number of unknown parameters in the regression function.

The function is evaluated at observation y[iobs].

Use wt = 1.0 for equal weighting (unweighted least squares).

The length of de corresponds to the number of unknown parameters in the regression function.

Reference