APPLICATION OF THE SOFTWARE TOOLS EXPERIMENTAL DESIGN FOR THE GENETIC APPROXIMATION ALGORITHM PARAMETER OPTIMIZATION
Abstract
References
1. MATLAB Statistics Toolbox: Product overview page - http://www.mathworks.com/products/statistics, 2010.
2. STATISTICA Data Miner: Overview of software product - http://www.statsoft.com/products/statistica-data-miner, 2010.
3. Stat-Ease: Software overview - http://www.statease.com/software.html, 2010.
4. Volkov V.V. Planirovanie eksperimenta i obrabotka rezul'tatov pri pomoschi programmnogo sredstva EOSupport / V.V. Volkov // Vestn. DGTU. – 2008. – T. 8. – № 2 (37). - in Russian.
5. Scientific Computing Tools For Python: NumPy: - http://numpy.scipy.org, 2009.
6. Performance Python: A comparison of weave with NumPy, Pyrex, Psyco, Fortran (77 and 90) and C++ for solving Laplace's equation - http://www.scipy.org/PerformancePython, 2009, нояб.
7. Matplotlib: Python plotting: - http://matplotlib.sourceforge.net, 2008.
Review
For citations:
VOLKOV V. APPLICATION OF THE SOFTWARE TOOLS EXPERIMENTAL DESIGN FOR THE GENETIC APPROXIMATION ALGORITHM PARAMETER OPTIMIZATION. Vestnik of Don State Technical University. 2010;10(4):487-491. (In Russ.)