References
1. L. Baochuan, Introduction to Numerical Methods (2015), http://en.wikibooks.org/wiki/
Introduction_to_Numerical_Methods
2. O. Certik et al., SymPy: Python library for symbolic mathematics. http://sympy.org/
3. S.D. Conte, C. de Boor, Elementary Numerical Analysis–An Algorithmic Approach, 3rd edn.
(McGraw-Hill, New York, 1980)
4. I. Danaila, P. Joly, S.M. Kaber, M. Postel, An Introduction to Scientific Computing (Springer,
Berlin, 2007)
5. C. Greif, U.M. Ascher, A First Course in Numerical Methods. Computational Science and
Engineering (SIAM, Philadelphia, 2011)
6. D.W. Harder, R. Khoury, Numerical Analysis for Engineering (2015), https://ece.uwaterloo.
ca/~dwharder/NumericalAnalysis/
7. J.D. Hunter, Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 9, 90–95 (2007)
8. J.D. Hunter et al., Matplotlib: Software package for 2D graphics, http://matplotlib.org/
9. E. Jones, T.E. Oliphant, P. Peterson, et al., SciPy scientific computing library for Python, http://
scipy.org
10. J. Kiusalaas. Numerical Methods in Engineering with Python, 2nd edn. (Cambridge Universtiy
Press, Cambridge, 2014)
11. H.P. Langtangen, A Primer on Scientific Programming with Python, 5th edn. Texts in
Computational Science and Engineering (Springer, Berlin, 2016)
12. H.P. Langtangen, DocOnce publishing platform, https://github.com/hplgit/doconce
13. H.P. Langtangen, J.H. Ring, SciTools: Software tools for scientific computing, https://github.
com/hplgit/scitools
14. R. LeVeque, Finite Difference Methods for Ordinary and Partial Differential Equations:
Steady-State and Time-Dependent Problems (SIAM, Philadelphia, 2007)
15. T. Lyche, J.-L. Merrien, Exercises in Computational Mathematics with MATLAB (Springer,
Berlin, 2014)
16. C. Moler, Numerical Computing with MATLAB (SIAM, Philadelphia, 2004) http://se.
mathworks.com/moler/chapters.html
17. S. Nakamura, Numerical Analysis and Graphic Visualization with Matlab, 2nd edn. (Prentice
Hall, Upper Saddle River, 2002)
18. T.E. Oliphant, Python for scientific computing. Comput. Sci. Eng. 9, 10–20 (2007)
19. T.E. Oliphant, et al., NumPy array processing package for Python, http://www.numpy.org
© The Author(s) 2020
S. Linge, H. P. Langtangen, Programming for Computations - Python,
Texts in Computational Science and Engineering 15,
https://doi.org/10.1007/978-3-030-16877-3
317
1. L. Baochuan, Introduction to Numerical Methods (2015), http://en.wikibooks.org/wiki/
Introduction_to_Numerical_Methods
2. O. Certik et al., SymPy: Python library for symbolic mathematics. http://sympy.org/
3. S.D. Conte, C. de Boor, Elementary Numerical Analysis–An Algorithmic Approach, 3rd edn.
(McGraw-Hill, New York, 1980)
4. I. Danaila, P. Joly, S.M. Kaber, M. Postel, An Introduction to Scientific Computing (Springer,
Berlin, 2007)
5. C. Greif, U.M. Ascher, A First Course in Numerical Methods. Computational Science and
Engineering (SIAM, Philadelphia, 2011)
6. D.W. Harder, R. Khoury, Numerical Analysis for Engineering (2015), https://ece.uwaterloo.
ca/~dwharder/NumericalAnalysis/
7. J.D. Hunter, Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 9, 90–95 (2007)
8. J.D. Hunter et al., Matplotlib: Software package for 2D graphics, http://matplotlib.org/
9. E. Jones, T.E. Oliphant, P. Peterson, et al., SciPy scientific computing library for Python, http://
scipy.org
10. J. Kiusalaas. Numerical Methods in Engineering with Python, 2nd edn. (Cambridge Universtiy
Press, Cambridge, 2014)
11. H.P. Langtangen, A Primer on Scientific Programming with Python, 5th edn. Texts in
Computational Science and Engineering (Springer, Berlin, 2016)
12. H.P. Langtangen, DocOnce publishing platform, https://github.com/hplgit/doconce
13. H.P. Langtangen, J.H. Ring, SciTools: Software tools for scientific computing, https://github.
com/hplgit/scitools
14. R. LeVeque, Finite Difference Methods for Ordinary and Partial Differential Equations:
Steady-State and Time-Dependent Problems (SIAM, Philadelphia, 2007)
15. T. Lyche, J.-L. Merrien, Exercises in Computational Mathematics with MATLAB (Springer,
Berlin, 2014)
16. C. Moler, Numerical Computing with MATLAB (SIAM, Philadelphia, 2004) http://se.
mathworks.com/moler/chapters.html
17. S. Nakamura, Numerical Analysis and Graphic Visualization with Matlab, 2nd edn. (Prentice
Hall, Upper Saddle River, 2002)
18. T.E. Oliphant, Python for scientific computing. Comput. Sci. Eng. 9, 10–20 (2007)
19. T.E. Oliphant, et al., NumPy array processing package for Python, http://www.numpy.org
© The Author(s) 2020
S. Linge, H. P. Langtangen, Programming for Computations - Python,
Texts in Computational Science and Engineering 15,
https://doi.org/10.1007/978-3-030-16877-3
317