If iprint≥0, you must supply lsqmon which is suitable for monitoring the minimization process. lsqmon must not change the values of any of its parameters.
If iprint<0, the dummy method E04FDZ can be used as lsqmon.

Syntax

C#
public delegate void E04GD_LSQMON(
	int m,
	int n,
	double[] xc,
	double[] fvec,
	double[,] fjac,
	double[] s,
	int igrade,
	int niter,
	int nf
)
Visual Basic
Public Delegate Sub E04GD_LSQMON ( _
	m As Integer, _
	n As Integer, _
	xc As Double(), _
	fvec As Double(), _
	fjac As Double(,), _
	s As Double(), _
	igrade As Integer, _
	niter As Integer, _
	nf As Integer _
)
Visual C++
public delegate void E04GD_LSQMON(
	int m, 
	int n, 
	array<double>^ xc, 
	array<double>^ fvec, 
	array<double,2>^ fjac, 
	array<double>^ s, 
	int igrade, 
	int niter, 
	int nf
)
F#
type E04GD_LSQMON = 
    delegate of 
        m : int * 
        n : int * 
        xc : float[] * 
        fvec : float[] * 
        fjac : float[,] * 
        s : float[] * 
        igrade : int * 
        niter : int * 
        nf : int -> unit

Parameters

m
Type: System..::..Int32
On entry: m, the numbers of residuals.
n
Type: System..::..Int32
On entry: n, the numbers of variables.
xc
Type: array<System..::..Double>[]()[][]
On entry: the coordinates of the current point x.
fvec
Type: array<System..::..Double>[]()[][]
On entry: the values of the residuals fi at the current point x.
fjac
Type: array<System..::..Double,2>[,](,)[,][,]
On entry: fjac[i-1,j-1] contains the value of ∂fi∂xj at the current point x, for i=1,2,…,m and j=1,2,…,n.
s
Type: array<System..::..Double>[]()[][]
On entry: the singular values of the current Jacobian matrix. Thus s may be useful as information about the structure of your problem. (If iprint>0, lsqmon is called at the initial point before the singular values have been calculated. So the elements of s are set to zero for the first call of lsqmon.)
igrade
Type: System..::..Int32
On entry: e04gd estimates the dimension of the subspace for which the Jacobian matrix can be used as a valid approximation to the curvature (see Gill and Murray (1978)). This estimate is called the grade of the Jacobian matrix, and igrade gives its current value.
niter
Type: System..::..Int32
On entry: the number of iterations which have been performed in e04gd.
nf
Type: System..::..Int32
On entry: the number of times that lsqfun has been called so far with iflag=2. (In addition to these calls monitored by nf, lsqfun is called not more than n times per iteration with iflag set to 1.)

See Also