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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Band Second Edition
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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,etal.,SciPyscientificcomputinglibraryforPython,http:// scipy.org 10. J.Kiusalaas.NumericalMethodsinEngineeringwithPython,2ndedn. (CambridgeUniverstiy 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 forComputations -Python, Texts in Computational Science and Engineering 15, https://doi.org/10.1007/978-3-030-16877-3 317
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python 3.6, Band Second Edition
Titel
Programming for Computations – Python
Untertitel
A Gentle Introduction to Numerical Simulations with Python 3.6
Band
Second Edition
Autoren
Svein Linge
Hans Petter Langtangen
Verlag
Springer Open
Datum
2020
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-319-32428-9
Abmessungen
17.8 x 25.4 cm
Seiten
356
Schlagwörter
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
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Programming for Computations – Python