id	summary	reporter	owner	description	type	status	priority	milestone	component	version	severity	resolution	keywords	cc
191	Levenberg-Marquardt Method and Minimization	gusciora@…	Paul Price	"I have questions on the new LMM API and algorithm.  The SDRS states that the
psMinimizeLMFunc() shall take (possibly several) coordinate vectors and
compute a single floating-point value from it.  However, the ADD states, in
equation (21) that the function is supposed to be calculated for each data
point:  f(x_i).  I'm not sure if something is worded incorrectly, or if I'm
missing something.  Can you help me make sense of that?  Could it be that the
psMinimizeLMFunc() function ought to return a vector of floats, each
cooresponding to a coordinate?

Also, the SDRS states that an argument to this function is of type
psMatrix.  This type was removed from the psLib months ago, I believe. 
Should this argument be of type psImage, or psArray?

The last paragraph of the LMM section states that the covariance matrix is
calculating by inverting the alpha matrix.  That's fine by me: the covariance
matrix is then returned as output from this function.  The rest of the
paragraph goes on to explain confidence limits.  That confuses me.  Why do
we need confidence limits?  Is that information to be returned somehow from
this function?  Is that information to be used somehow in the iterative
process?"	defect	closed	high		IPP SDRS	unspecified	normal	fixed		gusciora@… Bruce.Duncan@…