Page - 318 - in Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Volume Second Edition

318 References 20. S. Otto, J.P. Denier, An Introduction to Programming and Numerical Methods in MATLAB (Springer, Berlin, 2005) 21. F. Perez, B.E. Granger, IPython: a system for interactive scientific computing. Comput. Sci. Eng. 9, 21–29 (2007) 22. F. Perez, B.E. Granger, et al., IPython software package for interactive scientific computing, http://ipython.org/ 23. W.H. Press, S.A. Teukolsky, W.T. Vetterling, B.P. Flannery, Numerical Recipes (Cambridge University Press, Cambridge, 1992), http://www.nrbook.com/a/bookcpdf.php 24. Python programming language, http://python.org 25. G. Recktenwald, Numerical Methods with MATLAB: Implementations and Applications (Prentice-Hall, Upper Saddle River, 2000), http://web.cecs.pdx.edu/~gerry/nmm/ 26. ScientificPython software package, http://starship.python.net/crew/hinsen 27. G. Sewell, The Numerical Solution of Ordinary and Partial Differential Equations (Wiley, Hoboken, 2005) 28. T. Siauw, A. Bayen, An Introduction to MATLAB Programming and Numerical Methods for Engineers (Academic Press, Cambridge, 2014), http://www.sciencedirect.com/science/book/ 9780124202283 29. L.N.Trefethen, Spectral Methods inMATLAB (SIAM, Philadelphia, 2000) 30. L.N. Trefethen, Approximation Theory and Approximation Practice (SIAM, Philadelphia, 2012) 31. T.Young,M.J.Mohlenkamp, Introduction toNumericalMethodsandMATLABProgramming forEngineers (2015), https://www.math.ohiou.edu/courses/math3600/book.pdf