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A program developed by Jordan Hulme and I for least squares data analysis. The first package is in the form of a script
for MATLAB, while the second is a standalone program written in C++, with extended capabilities.Both packages perform least-squares regression analysis on a user-supplied
dataset, and calculate appropriate fitted parameters (with uncertainties) and an associated X2 value.
Download Program US Mirror 5.91 MB
Download Program UK Mirror 5.91 MB
Download Report US Mirror 450 KB
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Subject: problems to get to your C++ examples
Date/Time: 2004-11-13 12:58:20
Hi,
I wandered to your page looking for a least squares method program. I got then interested in your C++ classes, but it seems they've got somehow broken links (at least the NeuralNetwork and LeastSquares ones). I'd be thankful if you notified me when they're fixed and/or send them to me by e-mail.
Btw, it's nice you've got so easy to use feedback system :)
Greetz
mateusz
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From: Mateusz
Subject: RE: problems to get to your C++ examples
Date/Time: 2004-11-14 10:44:22
Dear Mateusz
I haven't gotten round to formalising them yet.
However the classes are included in the least squares program source code I've attached what you need and a page from the least squares manual that should given you enough to get it working. You'll probably have to remove quite a bit of stuff especial any mention to ErrorSeries if you're not using Borland C++ Builder 5 or above. Although, it should be straight forward to do get the code working in any c++ complier. In addition, some of the classes are missing their destructors if your bothered about memory leaks.
To create your own dataset do this
int nopoints = 10 // eg 10 point data set dataset *xdata = new dataset;
xdata->x = new row(nopoints);
xdata->y = new row(nopoints);
xdata->erry = new row(nopoints); //error in y
//-- add your data
(*xdata->x)[0] = 1
(*xdata->x)[0] = 1
(*xdata->erry)[0] = 0.1
// .... 1-8 range
(*xdata->x)[9] = 10
(*xdata->x)[9] = 20.1
(*xdata->erry)[9] = 0.2
To make your fit class either create one. see pdf for creating one (taken from help in Least Squares program).
E.g. Use General Polynomial.
int xx = 1; // xx = 1 for y = a*x + b , xx = 2 for a*x^2 + b*x +c etc; bfit *xline = new polynom(xx);
xline->downer = xdata; //
xline->fit();
Job done
Hopes this helps
Adam
Attached Files:
APErrorSeries.cpp 10 k
APErrorSeries.dfm 1 k
APErrorSeries.h 3 k
AdamsConst.h 0 k
AdamsStd.cpp 3 k
Engine.cpp 49 k
Engine.h 11 k
Fit Routine_.pdf
Dir
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From: Adam
Subject:
Date/Time: 2008-08-10 02:43:15
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Will you least squares fitting program fit data to two or more user input simultaneous nonlinear equations over as many ranges of domain? Thank you.
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From: Elan
Subject: computer
Date/Time: 2009-09-30 06:59:35
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I need c code for straight line fit .........
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