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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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50. M. Bücker, G. Corliss, P. Hovland, U. Naumann, B. Norris (eds.), Automatic Differentiation: Applications, Theory, and Implementations. 51. A.M. Bruaset, A. Tveito (eds.), Numerical Solution of Partial Differential Equations on Parallel Computers. 52. K.H.Hoffmann, A. Meyer (eds.),Parallel Algorithms and Cluster Computing. 53. H.-J.Bungartz, M. Schäfer (eds.), Fluid-Structure Interaction. 54. J.Behrens, Adaptive Atmospheric Modeling. 55. O.Widlund, D. Keyes (eds.), Domain Decomposition Methods in Science and Engineering XVI. 56. S.Kassinos, C. Langer, G. Iaccarino, P.Moin (eds.), Complex Effects in LargeEddySimulations. 57. M.Griebel, M.ASchweitzer (eds.),Meshfree Methods for Partial Differential Equations III. 58. A.N. Gorban, B. Kégl, D.C. Wunsch, A. Zinovyev (eds.), Principal Manifolds for Data Visualiza- tion and Dimension Reduction. 59. H. Ammari (ed.), Modeling and Computations in Electromagnetics: A Volume Dedicated to Jean- Claude Nédélec. 60. U. Langer, M. Discacciati, D. Keyes, O. Widlund, W. Zulehner (eds.), Domain Decomposition Methods in Science and Engineering XVII. 61. T. Mathew, Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations. 62. F.Graziani (ed.), Computational Methods in Transport: Verification and Validation. 63. M. Bebendorf, Hierarchical Matrices. A Means to Efficiently Solve Elliptic Boundary Value Problems. 64. C.H. Bischof, H.M. Bücker, P. Hovland, U. Naumann, J. Utke (eds.), Advances in Automatic Differentiation. 65. M.Griebel, M.A.Schweitzer (eds.), Meshfree Methods for PartialDifferential Equations IV. 66. B. Engquist, P.Lötstedt, O.Runborg (eds.),Multiscale Modeling and Simulation in Science. 67. I.H.Tuncer, Ü.Gülcat, D.R.Emerson, K.Matsuno (eds.), Parallel Computational Fluid Dynamics 2007. 68. S.Yip, T.Diaz de laRubia (eds.),Scientific Modeling and Simulations. 69. A. Hegarty, N. Kopteva, E. O’Riordan, M. Stynes (eds.), BAIL 2008 – Boundary and Interior Layers. 70. M. Bercovier, M.J. Gander, R. Kornhuber, O. Widlund (eds.), Domain Decomposition Methods in Science and Engineering XVIII. 71. B. Koren, C.Vuik (eds.),Advanced Computational Methods in Science and Engineering. 72. M.Peters (ed.), Computational Fluid Dynamics for Sport Simulation. 73. H.-J.Bungartz, M. Mehl, M. Schäfer (eds.), Fluid Structure Interaction II - Modelling, Simulation, Optimization. 74. D. Tromeur-Dervout, G. Brenner, D.R. Emerson, J. Erhel (eds.), Parallel Computational Fluid Dynamics 2008. 75. A.N.Gorban, D.Roose (eds.), Coping with Complexity: Model Reduction and Data Analysis.
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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