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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python
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Seite - (000245) - in Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python

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25. T.J. Barth, H. Deconinck (eds.), Error Estimation and Adaptive Discretization Methods in Computational Fluid Dynamics. 26. M.Griebel,M.A.Schweitzer (eds.),Meshfree Methods for PartialDifferential Equations. 27. S.Müller,Adaptive Multiscale Schemes for Conservation Laws. 28. C. Carstensen, S. Funken, W. Hackbusch, R.H.W. Hoppe, P. Monk (eds.), Computational Electromagnetics. 29. M.A. Schweitzer, A Parallel Multilevel Partition of Unity Method for Elliptic Partial Differential Equations. 30. T. Biegler, O. Ghattas, M.Heinkenschloss, B. vanBloemenWaanders (eds.), Large-Scale PDE- Constrained Optimization. 31. M.Ainsworth, P. Davies, D.Duncan, P.Martin, B. Rynne (eds.),Topics in Computational Wave Propagation. Direct and InverseProblems. 32. H.Emmerich,B.Nestler,M.Schreckenberg (eds.), Interface and Transport Dynamics. Computa- tionalModelling. 33. H.P. Langtangen, A. Tveito (eds.), Advanced Topics in Computational Partial Differential Equations.NumericalMethods andDiffpackProgramming. 34. V. John, Large Eddy Simulation of Turbulent Incompressible Flows. Analytical and Numerical Results for aClassofLESModels. 35. E.Bänsch (ed.),Challenges in Scientific Computing – CISC 2002. 36. B.N.Khoromskij, G.Wittum,Numerical Solution of Elliptic Differential Equations by Reduction to the Interface. 37. A. Iske,Multiresolution Methods in Scattered Data Modelling. 38. S.-I.Niculescu,K.Gu(eds.),Advances in Time-Delay Systems. 39. S.Attinger, P.Koumoutsakos (eds.),Multiscale Modelling and Simulation. 40. R.Kornhuber,R.Hoppe, J.Périaux,O.Pironneau,O.Wildlund, J.Xu(eds.),Domain Decomposi- tion Methods in Science and Engineering. 41. T.Plewa,T.Linde,V.G.Weirs (eds.),Adaptive Mesh Refinement – Theoryand Applications. 42. A.Schmidt,K.G.Siebert,DesignofAdaptiveFiniteElementSoftware.TheFiniteElementToolbox ALBERTA. 43. M.Griebel,M.A.Schweitzer (eds.),Meshfree Methods for PartialDifferential Equations II. 44. B.Engquist, P.Lötstedt,O.Runborg (eds.),Multiscale Methods in Science and Engineering. 45. P.Benner,V.Mehrmann,D.C.Sorensen (eds.),Dimension Reduction ofLarge-Scale Systems. 46. D.Kressner,Numerical Methods for General and Structured Eigenvalue Problems. 47. A.Boriçi,A.Frommer,B. Joó,A.Kennedy,B.Pendleton (eds.),QCDand NumericalAnalysis III. 48. F.Graziani (ed.),Computational Methods in Transport. 49. B.Leimkuhler,C.Chipot,R.Elber,A.Laaksonen,A.Mark,T.Schlick,C.Schütte,R.Skeel (eds.), New Algorithms for Macromolecular Simulation. 50. M.Bücker, G.Corliss, P.Hovland,U.Naumann,B.Norris (eds.),Automatic Differentiation: Ap- plications, 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.
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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
Kategorie
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Programming for Computations – Python