Appendix . References

  1. M. Abramowitz and I.A. Stegun, Handbook of Mathematical Functions with Formulas, Graphs, and  Mathematical Tables, U.S. Department of Commerce, 2002. ISBN: 9780486612720.
  2. Anaconda – Continuum Analytics Download page. URL: https://www.continuum.io/downloads.
  3. Michael J. Cloud, Moore Ramon E., and R. Baker Kearfott, Introduction to Interval Analysis, Society for Industrial and Applied Mathematics (SIAM), 2009. ISBN: 0-89871-669-1.
  4. Python Decorator Library. URL: http://wiki.python.org/moin/PythonDecoratorLibrary.
  5. Z. Bai E. Anderson, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S.  Hammarling, A. McKenney, and D. Sorensen, LAPACK Users’ Guide, SIAM, 1999. ISBN: 9780898714470.
  6. fraction – Rational Numbers Library. URL: http://docs.python.org/library/fractions.html.
  7. Claus Führer, Jan Erik Solem, and Olivier Verdier, Computing with Python,  Pearson, 2014. ISBN:  978-0-273-78643-6.
  8. functools – Higher order functions and operations on callable objects. URL: http://docs.python.org/library/functools.html.
  9. Python Generator Tricks. URL: http://linuxgazette.net/100/pramode.html.
  10. G.H. Golub and C.F.V. Loan, Matrix computations,  Johns Hopkins studies in the mathematical sciences. Johns Hopkins University Press, 1996. ISBN: 9780801854149.
  11. Ernst Hairer and Gerhard Wanner, Analysis by its history, Springer, 1995.
  12. Python versus Haskell. URL: http://wiki.python.org/moin/PythonVsHaskell.
  13. The IEEE 754-2008 standard. URL: http://en.wikipedia.org/wiki/IEEE_754-2008.
  14. Interval arithmetic. URL: http://en.wikipedia.org/wiki/Interval_arithmetic.
  15. IPython: Interactive Computing. URL: http://ipython.org/.
  16. H.P. Langtangen, Python scripting for computational science (Texts in computational science and engineering),  Springer, 2008. ISBN:9783540739159.
  17. H.P. Langtangen, A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering), Springer, 2009. ISBN: 9783642024740.
  18. D. F. Lawden, Elliptic Functions and Applications, Springer, 1989. ISBN: 9781441930903.
  19. M. Lutz,  Learning Python: Powerful Object-Oriented Programming, O’Reilly, 2009. ISBN: 9780596158064.
  20. NumPy Tutorial – Mandelbrot Set Example. URL:http://www.scipy.org/Tentative_NumPy_Tutorial/Mandelbrot_Set_Example.
  21. matplotlib. URL: http://matplotlib.sourceforge.net.
  22. Standard: Memoized recursive Fibonacci in Python. URL: http://ujihisa.blogspot.se/2010/11/memoized-recursive-fibonacciin-python.html.
  23. Matplotlib mplot3d toolkit. URL: http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d.
  24. James M. Ortega and Werner C. Rheinboldt, Iterative solution of nonlinear equations in several variables, SIAM, 2000. ISBN: 9780898714616.
  25. pdb – The Python Debugger, documentation: http://docs.python.org/library/pdb.html.
  26. Fernando Pérez and Brian E. Granger. IPython: a System for Interactive Scientific Computing.” In: Comput. Sci. Eng. 9.3 (May 2007), pp. 21–29. URL: http://ipython.org.
  27. Michael J.D. Powell. “An efficient method for finding the minimum of a function of several variables  without calculating derivatives.” In: Computer Journal 7 (2 1964), pp. 155–162. doi: doi:10.1093/comjnl/7.2.155.
  28. Timothy Sauer, Numerical Analysis, Pearson, 2006.
  29. L.F. Shampine, R.C. Allen, and S. Pruess, Fundamentals of Numerical Computing, John Wiley, 1997. ISBN: 9780471163633.
  30. Jan Erik Solem, Programming Computer Vision with Python, O’Reilly Media, 2012. URL: http://programmingcomputervision.com.
  31. Python Documentation – Emulating numeric types. URL: http://docs.python.org/reference/datamodel.html#emulating-numeric-types.
  32. Sphinx: Python Documentation Generator. URL: http://sphinx.pocoo.org/.
  33. J. Stoer and R. Bulirsch, Introduction to numerical analysis. Texts in applied mathematics, Springer, 2002. ISBN: 9780387954523.
  34. Python Format String Syntax. URL: http://docs.python.org/library/string.html#format-string-syntax.
  35. S. Tosi,  Matplotlib for Python Developers, Packt Publishing, 2009. ISBN: 9781847197900.
  36.  Lloyd N. Trefethen and David Bau, Numerical Linear Algebra, SIAM: Society for Industrial and Applied Mathematics, 1997. ISBN: 0898713617.
  37. visvis – The object oriented approach to visualization. URL: http://code.google.com/p/visvis/.
  38. The full list of built-in exceptions can be found at http://docs.python.org/library/exceptions.html
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