Two weeks ago I was attracted for solving a math problem: to approximate with a non linear method of Least squares some data generated by physical experiment from Nonlinear Optic. I was suggested using Mathcad for it.
I did not know, what the approximation and Least squares are. By searching in Google, I have looked at the site of alglib. First of all, I was interested with information about approximation.
I found, that alglib works with Python. I did not know, how to use Python. But I heard, that Python is a very easy to learn and powerful language. So, I downloaded alglib and began to study Python.
In three hours I had a working console program, that made a regression. It was just an introduction to alglib.
In one day I had a program, that made an approximation with a non linear method of Least squares, but
Beginer_parameters I need to find with Mathcad and input in my program.
In three days from the begining I had a complete console program. It found Beginer_parameters without user, if the function-approximater was a one of defined functions in my program.
In four days from the begining I had a program with a graphical interface. I did not know, what wxWidget was, but it was enough one day to bring for a console program a modern interface. Matplotlib's power I added by an one hour.
In the fifth day I made a documentation for a program in HTML, using Docbook system. It was a first my work with Docbook.
In the sixth day I made a presentation in PDF format, using Lyx and beamer. I did not know anything about them and have find the information suddenly.
I worked in Ubuntu Linux operating system and often tested my program in Windows 2000 through VirtualBox. So, my program works well in both operating systems. And I have solved my main problem - approximation! My program is under GPLv3 license.
Thanks a lot.
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File comment: Graphic generated by a program through Matplotlib. img - notlinappr_and_lin5-2.png [ 39.89 KiB | Viewed 4335 times ] |
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File comment: Main window of program. img - winface.jpeg [ 143.34 KiB | Viewed 4338 times ] |