Skip to main content

Part of the book series: Texts in Computational Science and Engineering ((TCSE,volume 10))

Abstract

In this chapter we develop finite element methods for numerical solution of partial differential equations in two dimensions. The approach taken is the same as before, that is, we first rewrite the equation in variational form, and then seek an approximate solution in the space of continuous piecewise linear functions. Although the numerical methods presented are general, we focus on linear second order elliptic equations with the Poisson equation as our main model problem. We prove basic error estimates, discuss the implementation of the involved algorithms, and study some examples of application.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. M. Ainsworth and J. T. Oden. A Posteriori Error Estimation in Finite Element Analysis. John Wiley & Sons, 2000.

    Google Scholar 

  2. W. Bangerth and R. Rannacher. Adaptive Finite Element Methods for Differential Equations. Birkhäuser, 2003.

    Google Scholar 

  3. R. Bank, A. Sherman, and A. Weiser. Refinement algorithms and data structures for regular local mesh refinement. In R. Stepleman, editor, Scientific Computing, pages 3–17, 1983.

    Google Scholar 

  4. J. Bey. Tetrahedral grid refinement. Computing, 55:355–378, October 1995.

    Article  MathSciNet  MATH  Google Scholar 

  5. D. Braess. Finite Elements. Cambridge University Press, 2007.

    Google Scholar 

  6. K. Eriksson, D. Estep, P. Hansbo, and C. Johnson. Computational Differential Equations. Studentliteratur, 1996.

    Google Scholar 

  7. M. Gockenbach. Understanding and Implementing the Finite Element Method. SIAM, 2006.

    Google Scholar 

  8. J.-L. Guermond and A. Ern. Theory and Practice of Finite Elements. Applies Mathematical Sciences. Springer-Verlag, 2004.

    MATH  Google Scholar 

  9. C. Johnson. Numerical Solution of Partial Differential Equations by the Finite Element Method. Studentlitteratur, 1987.

    Google Scholar 

  10. J. Nitsche. Ein kriterium für die quasi-optimalität des ritzschen verfahrens. Numerische Mathematik, 11:346–348, 1968.

    Article  MathSciNet  MATH  Google Scholar 

  11. M.-C. Rivara, C. Calderon, A. Fedorov, and N. Chrisochoides. Parallel decoupled terminal-edge bisection method for 3d mesh generation. Engineering with Computers, 22:111–119, August 2006.

    Article  Google Scholar 

  12. P. Solin. Partial Differential Equations and the Finite Element Method. Wiley-Interscience, 2006.

    Google Scholar 

  13. O. Zienkiewicz, R. Taylor, and J. Zhu. The Finite Element Method: Its Basis and Fundamentals, volume 1. Elsevier Butterworth-Heinemann, 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Larson, M.G., Bengzon, F. (2013). The Finite Element Method in 2D. In: The Finite Element Method: Theory, Implementation, and Applications. Texts in Computational Science and Engineering, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33287-6_4

Download citation

Publish with us

Policies and ethics