For the benefit of people on the Racket Users list, we're discussing the
Conjugate Gradient (CG) method applied to Least Squares problems, as
described in the original paper by Hestenes and Stiefel:
http://www.math.purdue.edu/~lucier/jresv49n6p409_A1b.pdf
The formulas to use are (10:2) on
In case you get interested in implementing fitting for non-linear problems
as well, consider taking a look at this survey: "Methods for non-linear
least squares problems" by K. Madsen, H.B. Nielsen, O. Tingleff.
http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3215/pdf/imm3215.pdf
The first
> On Dec 1, 2016, at 12:07, Bradley Lucier wrote:
>
> On 12/01/2016 02:04 PM, John Clements wrote:
>>
>> Would it be all right with you if I shared your mail with the mailing list?
>> A brief reading of this paper shows me the relationship between solving this
>>
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