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        Solving PDEs in Python

        The FEniCS Tutorial I

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        Author(s)
        Langtangen, Hans Petter
        Logg, Anders
        Language
        English
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        Abstract
        This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier–Stokes equations, and systems of nonlinear advection–diffusion–reaction equations, it guides readers through the essential steps to quickly solving a PDE in FEniCS, such as how to define a finite variational problem, how to set boundary conditions, how to solve linear and nonlinear systems, and how to visualize solutions and structure finite element Python programs. This book is open access under a CC BY license.
        URI
        https://library.oapen.org/handle/20.500.12657/42898
        Keywords
        Computational Science and Engineering; Algorithms; Visualization; Mathematical Software; Numerical Analysis; Software Engineering/Programming and Operating Systems; Data and Information Visualization; Software Engineering; Finite element; FEniCS; Partial Differential Equations; Python; Simulation; Open access; Maths for scientists; Combinatorics & graph theory; Mathematical & statistical software; Operating systems
        DOI
        10.1007/978-3-319-52462-7
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        2016
        Imprint
        Springer International Publishing
        Series
        Simula SpringerBriefs on Computing, 3
        Classification
        Maths for scientists
        Numerical analysis
        Combinatorics and graph theory
        Mathematical and statistical software
        Software Engineering
        Pages
        146
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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