ReferencesΒΆ

[Ref01]S. D. Conte and C. d. Boor. Elementary Numerical Analysis - An Algorithmic Approach, third edition, McGraw-Hill, 1980.
[Ref02]W. H. Press, S. A. Teukolsky, W. T. Vetterling and B. P. Flannery. Numerical Recipes, Cambridge, 1992, http://www.nrbook.com/a/bookcpdf.php.
[Ref03]G. Recktenwald. Numerical Methods with MATLAB: Implementations and Applications, Prentice-Hall, 2000.
[Ref04]S. Nakamura. Numerical Analysis and Graphic Visualization with Matlab, second edition, Prentice Hall, 2002.
[Ref05]S. Otto and J. P. Denier. An Introduction to Programming and Numerical Methods in MATLAB, Springer, 2005.
[Ref06]C. Moler. Numerical Computing with MATLAB, SIAM, 2004, http://se.mathworks.com/moler/chapters.html.
[Ref07]G. Sewell. The Numerical Solution of Ordinary and Partial Differential Equations, Wiley, 2005.
[Ref08]I. Danaila, P. Joly, S. M. Kaber and M. Postel. An Introduction to Scientific Computing, Springer, 2007.
[Ref09]L. N. Trefethen. Spectral Methods in MATLAB, SIAM, 2000.
[Ref10]L. N. Trefethen. Approximation Theory and Approximation Practice, SIAM, 2012.
[Ref11]C. Greif and U. M. Ascher. A First Course in Numerical Methods, Computational Science and Engineering, SIAM, 2011.
[Ref12]T. Lyche and J.-L. Merrien. Exercises in Computational Mathematics with MATLAB, Springer, 2014.
[Ref13]T. Siauw and A. Bayen. An Introduction to MATLAB Programming and Numerical Methods for Engineers, Academic Press, 2014, http://www.sciencedirect.com/science/book/9780124202283.
[Ref14]D. W. Harder and R.. Numerical Analysis for Engineering, 2015, https://ece.uwaterloo.ca/~dwharder/NumericalAnalysis/.
[Ref15]T. Young and M. J. Mohlenkamp. Introduction to Numerical Methods and MATLAB Programming for Engineers, 2015, https://www.math.ohiou.edu/courses/math3600/book.pdf.
[Ref16]L. Baochuan. Introduction to Numerical Methods, 2015, http://en.wikibooks.org/wiki/Introduction_to_Numerical_Methods.
[Ref17]J. Kiusalaas. Numerical Methods in Engineering with Python, second edition, Cambridge, 2014.
[Ref18]H. P. Langtangen. A Primer on Scientific Programming with Python, fifth edition, Texts in Computational Science and Engineering, Springer, 2016.
[Ref19]H. P. Langtangen. DocOnce Publishing Platform, https://github.com/hplgit/doconce.
[Ref20]R. LeVeque. Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems, SIAM, 2007.
[Ref21]Python Programming Language. http://python.org.
[Ref22]T. E. Oliphant et al.. NumPy Array Processing Package for Python, http://www.numpy.org.
[Ref23]T. E. Oliphant. Python for Scientific Computing, Computing in Science & Engineering, 9, 2007.
[Ref24]J. D. Hunter et al.. Matplotlib: Software Package for 2D Graphics, http://matplotlib.org/.
[Ref25]J. D. Hunter. Matplotlib: a 2D Graphics Environment, Computing in Science & Engineering, 9, 2007.
[Ref26]F. Perez, B. E. Granger et al.. IPython Software Package for Interactive Scientific Computing, http://ipython.org/.
[Ref27]F. Perez and B. E. Granger. IPython: a System for Interactive Scientific Computing, Computing in Science & Engineering, 9, 2007.
[Ref28]H. P. Langtangen and J. H. Ring. SciTools: Software Tools for Scientific Computing, https://github.com/hplgit/scitools.
[Ref29]ScientificPython Software Package. http://starship.python.net/crew/hinsen.
[Ref30]O. Certik et al.. SymPy: Python library for symbolic mathematics, http://sympy.org.
[Ref31]E. Jones, T. E. Oliphant, P. Peterson et al.. SciPy Scientific Computing Library for Python, http://scipy.org.