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Fundamentals: Solving the Poisson equation

Fundamentals: Solving the Poisson equation

  • Hans Petter Langtangen13 &
  • Anders Logg14 
  • Chapter
  • Open Access
  • First Online: 22 March 2017
  • 69k Accesses

  • 1 Citations

Part of the Simula SpringerBriefs on Computing book series (SBRIEFSC,volume 3)

Abstract

Many books on programming languages start with a “Hello, World!” program. Readers are curious to know how fundamental tasks are expressed in the language, and printing a text to the screen can be such a task. In the world of finite element methods for PDEs, the most fundamental task must be to solve the Poisson equation.

Keywords

  • Variational Problem
  • Poisson Equation
  • Poisson Problem
  • Integrate Development Environment
  • Advanced Visualization

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  1. Center for Biomedical Computing, Simula Research Laboratory, Fornebu, Norway

    Hans Petter Langtangen

  2. Department of Mathematics, Chalmers University of Technology, Gothenburg, Sweden

    Anders Logg

Authors
  1. Hans Petter Langtangen
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  2. Anders Logg
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Corresponding authors

Correspondence to Hans Petter Langtangen or Anders Logg .

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This chapter is published under an open access license. Please check the 'Copyright Information' section either on this page or in the PDF for details of this license and what re-use is permitted. If your intended use exceeds what is permitted by the license or if you are unable to locate the licence and re-use information, please contact the Rights and Permissions team.

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Langtangen, H.P., Logg, A. (2016). Fundamentals: Solving the Poisson equation. In: Solving PDEs in Python. Simula SpringerBriefs on Computing, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-52462-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-52462-7_2

  • Published: 22 March 2017

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52461-0

  • Online ISBN: 978-3-319-52462-7

  • eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

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