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Thanking topic. http://forum.alglib.net/viewtopic.php?f=2&t=339 
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Author:  Dmitriy_M [ Sat Apr 09, 2011 6:04 am ]  
Post subject:  Thanking topic.  
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 functionapproximater 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.

Author:  Dmitriy_M [ Sun Apr 10, 2011 4:52 pm ] 
Post subject:  Re: Thanking topic. 
Oh my god! SUDDENLY, I found a program, that do the same deal, but much more powerful: Fityk. http://fityk.nieto.pl/ Fityk and my program have some common features: GPLv3, wxWidgets, predefined functions, user must to modify the code if he wants to add his own function, the answer is  analytic functions with calculated by fitting parameters. Funny. 
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