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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python
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References 1. L. Baochuan. Introduction to Numerical Methods. 2015. http://en.wikibooks.org/wiki/ Introduction_to_Numerical_Methods. 2. O.Certiket al. SymPy: Python library for symbolicmathematics. http://sympy.org/. 3. S. D. Conte and C. de Boor. Elementary Numerical Analysis - An Algorithmic Approach. McGraw-Hill, thirdedition, 1980. 4. I. Danaila, P. Joly, S. M. Kaber, andM. Postel. An Introduction to Scientific Computing. Springer, 2007. 5. C.Greif andU.M.Ascher. A First Course in Numerical Methods. Computational Science andEngineering. SIAM,2011. 6. D.W.Harder and R. Numerical Analysis for Engineering. 2015. https://ece.uwaterloo.ca/ ~dwharder/NumericalAnalysis/. 7. ScientificPython softwarepackage. http://starship.python.net/crew/hinsen. 8. J.D.Hunter. Matplotlib: a 2Dgraphics environment. Computing in Science & Engineering, 9, 2007. 9. J.D.Hunter et al. Matplotlib: Softwarepackage for2Dgraphics. http://matplotlib.org/. 10. E. Jones, T. E. Oliphant, P. Peterson, et al. SciPy scientific computing library for Python. http://scipy.org. 11. J. Kiusalaas. Numerical Methods in Engineering with Python. Cambridge, second edition, 2014. 12. H.P.Langtangen. DocOncepublishingplatform. https://github.com/hplgit/doconce. 13. H.P.Langtangen. A Primer on Scientific Programming withPython. Texts inComputational Science andEngineering. Springer,fifthedition, 2016. 14. H. P. Langtangen and J.H.Ring. SciTools: Software tools for scientific computing. https:// github.com/hplgit/scitools. 15. R. LeVeque. Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems. SIAM,2007. 16. T.LycheandJ.-L.Merrien.Exercises inComputationalMathematicswithMATLAB. Springer, 2014. 17. C. Moler. Numerical Computing with MATLAB. SIAM, 2004. http://se.mathworks.com/ moler/chapters.html. 18. S. Nakamura. Numerical Analysis and Graphic Visualization with Matlab. Prentice Hall, secondedition, 2002. 19. T. E. Oliphant. Python for scientific computing. Computing in Science & Engineering, 9, 2007. 219
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python
Title
Programming for Computations – Python
Subtitle
A Gentle Introduction to Numerical Simulations with Python
Authors
Svein Linge
Hans Petter Langtangen
Publisher
Springer Open
Date
2016
Language
English
License
CC BY-NC 4.0
ISBN
978-3-319-32428-9
Size
17.8 x 25.4 cm
Pages
248
Keywords
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
Category
Informatik
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