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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python
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81. C.Clavero, J.L.Gracia, F.J.Lisbona (eds.),BAIL2010 –Boundary andInterior 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.),AutomatedSolution ofDifferential Equations by theFinite 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 Differ- entiation. 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 inComputational 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.ElFekih, J.S.Hesthaven (eds.), Spectral and High Order Methods for Partial Dif- ferential 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. 101. R.Hoppe (ed.),Optimization with PDEConstraints – OPTPDE2014. 102. S. Dahlke, W. Dahmen, M. Griebel, W. Hackbusch, K. Ritter, R. Schneider, C. Schwab, H.Yserentant (eds.),Extraction of Quantifiable Information from Complex Systems. 103. A. Abdulle, S. Deparis, D. Kressner, F. Nobile, M. Picasso (eds.), Numerical Mathematics and Advanced Applications – ENUMATH2013. 104. T. Dickopf, M.J. Gander, L. Halpern, R. Krause, L.F. Pavarino (eds.), Domain Decomposition Methods in Science and Engineering XXII. 105. M.Mehl,M.Bischoff,M.Schäfer (eds.),Recent Trends in Computational Engineering – CE2014. Optimization,Uncertainty, ParallelAlgorithms,CoupledandComplexProblems. 106. R.M.Kirby,M.Berzins, J.S.Hesthaven (eds.),Spectral and High Order Methods for Partial Dif- ferential Equations – ICOSAHOM’14.
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python
Titel
Programming for Computations – Python
Untertitel
A Gentle Introduction to Numerical Simulations with Python
Autoren
Svein Linge
Hans Petter Langtangen
Verlag
Springer Open
Datum
2016
Sprache
englisch
Lizenz
CC BY-NC 4.0
ISBN
978-3-319-32428-9
Abmessungen
17.8 x 25.4 cm
Seiten
248
Schlagwörter
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
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Informatik
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Programming for Computations – Python