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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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76. J.S. Hesthaven, E.M. Rønquist (eds.), Spectral and High Order Methods for Partial Differential Equations. 77. M.Holtz,SparseGridQuadrature inHighDimensionswithApplications inFinanceandInsurance. 78. Y. Huang, R. Kornhuber, O.Widlund, J.Xu (eds.),Domain Decomposition Methods in Science and Engineering XIX. 79. M.Griebel, M.A.Schweitzer (eds.), Meshfree Methods for PartialDifferential Equations V. 80. P.H. Lauritzen, C. Jablonowski, M.A. Taylor, R.D. Nair (eds.), Numerical Techniques for Global Atmospheric Models. 81. C. Clavero, J.L.Gracia, F.J.Lisbona (eds.), BAIL 2010 – Boundary and Interior Layers, Computa- tional and Asymptotic Methods. 82. B. Engquist, O.Runborg, Y.R.Tsai (eds.), Numerical Analysis and Multiscale Computations. 83. I.G.Graham, T.Y.Hou, O.Lakkis, R.Scheichl (eds.),Numerical Analysis ofMultiscale Problems. 84. A.Logg,K.-A.Mardal, G.Wells (eds.),Automated Solution ofDifferential Equations by the Finite Element Method. 85. J.Blowey, M.Jensen (eds.), Frontiers in Numerical Analysis – Durham 2010. 86. O.Kolditz, U.-J.Gorke, H.Shao,W.Wang(eds.),Thermo-Hydro-Mechanical-Chemical Processes in Fractured PorousMedia – Benchmarks and Examples. 87. S. Forth, P. Hovland, E. Phipps, J. Utke, A. Walther (eds.), Recent Advances in Algorithmic Differentiation. 88. J.Garcke, M.Griebel (eds.),Sparse Grids and Applications. 89. M.Griebel, M.A.Schweitzer (eds.), Meshfree Methods for PartialDifferential Equations VI. 90. C. Pechstein, Finite and Boundary Element Tearing and Interconnecting Solvers for Multiscale Problems. 91. R. Bank, M. Holst, O. Widlund, J. Xu (eds.), Domain Decomposition Methods in Science and Engineering XX. 92. H.Bijl, D. Lucor, S.Mishra, C.Schwab (eds.),Uncertainty Quantification in Computational Fluid Dynamics. 93. M.Bader, H.-J.Bungartz, T.Weinzierl (eds.),Advanced Computing. 94. M. Ehrhardt, T. Koprucki (eds.), Advanced Mathematical Models and Numerical Techniques for Multi-Band Effective Mass Approximations. 95. M. Azaïez, H. El Fekih, J.S. Hesthaven (eds.), Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2012. 96. F. Graziani, M.P. Desjarlais, R. Redmer, S.B. Trickey (eds.), Frontiers and Challenges in Warm Dense Matter. 97. J.Garcke, D.Pflüger (eds.), SparseGrids and Applications – Munich 2012. 98. J. Erhel, M. Gander, L. Halpern, G. Pichot, T. Sassi, O. Widlund (eds.), Domain Decomposition Methods in Science and Engineering XXI. 99. R. Abgrall, H. Beaugendre, P.M. Congedo, C. Dobrzynski, V. Perrier, M. Ricchiuto (eds.), High Order Nonlinear Numerical Methods for Evolutionary PDEs- HONOM 2013. 100. M.Griebel, M.A.Schweitzer (eds.), Meshfree Methods for PartialDifferential Equations VII.
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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