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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Volume Second Edition
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Lecture Notes inComputationalScience andEngineering 1. D.Funaro, Spectral Elements for Transport-Dominated Equations. 2. H.P. Langtangen, Computational Partial Differential Equations. Numerical Methods and Diffpack Programming. 3. W.Hackbusch, G.Wittum (eds.), Multigrid Methods V. 4. P. Deuflhard, J. Hermans, B. Leimkuhler, A.E. Mark, S. Reich, R.D. Skeel (eds.), Computational Molecular Dynamics: Challenges, Methods, Ideas. 5. D. Kröner, M. Ohlberger, C. Rohde (eds.), An Introduction to Recent Developments in Theory and Numerics for Conservation Laws. 6. S. Turek, Efficient Solvers for Incompressible Flow Problems. An Algorithmic and Computational Approach. 7. R. von Schwerin, Multi Body System SIMulation. Numerical Methods, Algorithms, and Software. 8. H.-J.Bungartz,F.Durst,C.Zenger(eds.),HighPerformanceScientificandEngineeringComputing. 9. T.J.Barth, H.Deconinck (eds.),High-Order Methods for Computational Physics. 10. H.P. Langtangen, A.M. Bruaset, E. Quak(eds.), Advances in Software Tools for Scientific Computing. 11. B. Cockburn, G.E. Karniadakis, C.-W. Shu (eds.), Discontinuous Galerkin Methods. Theory, Computation and Applications. 12. U.vanRienen,Numerical Methods inComputational Electrodynamics. LinearSystemsinPractical Applications. 13. B. Engquist, L. Johnsson, M.Hammill, F.Short (eds.),Simulation and Visualization on the Grid. 14. E.Dick, K.Riemslagh, J.Vierendeels (eds.),Multigrid Methods VI. 15. A.Frommer, T.Lippert, B.Medeke, K.Schilling (eds.),Numerical Challenges in Lattice Quantum Chromodynamics. 16. J.Lang,AdaptiveMultilevel Solution ofNonlinear ParabolicPDESystems.Theory,Algorithm,and Applications. 17. B.I.Wohlmuth, Discretization Methods and Iterative Solvers Based on Domain Decomposition. 18. U.van Rienen, M.Günther, D.Hecht (eds.),Scientific Computing in Electrical Engineering. 19. I. Babuška, P.G. Ciarlet, T. Miyoshi (eds.), Mathematical Modeling and Numerical Simulation in Continuum Mechanics. 20. T.J. Barth, T. Chan, R. Haimes (eds.), Multiscale and Multiresolution Methods. Theory and Applications. 21. M.Breuer, F.Durst,C. Zenger (eds.),High Performance Scientific and Engineering Computing. 22. K.Urban, Wavelets in Numerical Simulation. Problem Adapted Construction and Applications. 23. L.F.Pavarino, A.Toselli (eds.),Recent Developments in Domain Decomposition Methods.
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python 3.6, Volume Second Edition
Title
Programming for Computations – Python
Subtitle
A Gentle Introduction to Numerical Simulations with Python 3.6
Volume
Second Edition
Authors
Svein Linge
Hans Petter Langtangen
Publisher
Springer Open
Date
2020
Language
English
License
CC BY 4.0
ISBN
978-3-319-32428-9
Size
17.8 x 25.4 cm
Pages
356
Keywords
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
Category
Informatik
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Programming for Computations – Python