Abstract
Finite element methods provide an abstract framework for interpolating functions or vector fields in multidimensional domains. They allow for specifying Galerkin methods for approximating partial differential equations. In combination with regularity results, error estimates in various norms can be proved. The efficient implementation of low order and isoparametric methods is discussed in the case of stationary and evolutionary model problems.
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Notes
- 1.
A discussion of the historical development of the finite element method can be found in [9]. The monograph [5] provides a comprehensive overview over finite element methods and their analysis. Constructive existence theories for interpolating finite element functions are stated in [3]; a more practical approach is followed in [2]. An important contribution to the numerical analysis of finite element methods for parabolic equations is the article [22]; further results can be found in the monograph [21]. Classical articles on error estimates for finite element methods are the references [1, 14, 15, 17, 18]; see [6] for quadrature rules on simplices. Further references on finite element methods for partial differential equations are [4, 7, 8, 10–13, 16, 19, 20].
References
A discussion of the historical development of the finite element method can be found in [9]. The monograph [5] provides a comprehensive overview over finite element methods and their analysis. Constructive existence theories for interpolating finite element functions are stated in [3]; a more practical approach is followed in [2]. An important contribution to the numerical analysis of finite element methods for parabolic equations is the article [22]; further results can be found in the monograph [21]. Classical articles on error estimates for finite element methods are the references [1, 14, 15, 17, 18]; see [6] for quadrature rules on simplices. Further references on finite element methods for partial differential equations are [4, 7, 8, 10–13, 16, 19, 20].
Aubin, J.P.: Behavior of the error of the approximate solutions of boundary value problems for linear elliptic operators by Galerkin’s and finite difference methods. Ann. Scuola Norm. Sup. Pisa (3) 21, 599–637 (1967)
Braess, D.: Finite Elements, 3rd edn. Cambridge University Press, Cambridge (2007). URL http://dx.doi.org/10.1017/CBO9780511618635
Brenner, S.C., Scott, L.R.: The mathematical theory of finite element methods. Texts in Applied Mathematics, vol. 15, 3rd edn. Springer, New York (2008). URL http://dx.doi.org/10.1007/978-0-387-75934-0
Carstensen, C.: Wissenschaftliches Rechnen (1997). Lecture Notes, University of Kiel, Germany
Ciarlet, P.G.: The finite element method for elliptic problems. Classics in Applied Mathematics, vol. 40. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA (2002). URL http://dx.doi.org/10.1137/1.9780898719208
Duffy, M.G.: Quadrature over a pyramid or cube of integrands with a singularity at a vertex. SIAM J. Numer. Anal. 19 (6), 1260–1262 (1982). URL http://dx.doi.org/10.1137/0719090
Dziuk, G.: Theorie und Numerik Partieller Differentialgleichungen. Walter de Gruyter GmbH & Co. KG, Berlin (2010). URL http://dx.doi.org/10.1515/9783110214819
Ern, A., Guermond, J.L.: Theory and practice of finite elements. Applied Mathematical Sciences, vol. 159. Springer, New York (2004). URL http://dx.doi.org/10.1007/978-1-4757-4355-5
Gander, M.J., Wanner, G.: From Euler, Ritz, and Galerkin to modern computing. SIAM Rev. 54 (4), 627–666 (2012). URL http://dx.doi.org/10.1137/100804036
Grossmann, C., Roos, H.G.: Numerical treatment of partial differential equations. Universitext. Springer, Berlin (2007). URL http://dx.doi.org/10.1007/978-3-540-71584-9
Hackbusch, W.: Elliptic differential equations. Springer Series in Computational Mathematics, vol. 18. Springer, Berlin (1992). URL http://dx.doi.org/10.1007/978-3-642-11490-8
Knabner, P., Angermann, L.: Numerical methods for elliptic and parabolic partial differential equations. Texts in Applied Mathematics, vol. 44. Springer, New York (2003)
Larson, M.G., Bengzon, F.: The finite element method: theory, implementation, and applications. Texts in Computational Science and Engineering, vol. 10. Springer, Heidelberg (2013). URL http://dx.doi.org/10.1007/978-3-642-33287-6
Nitsche, J.: Ein Kriterium für die Quasi-Optimalität des Ritzschen Verfahrens. Numer. Math. 11, 346–348 (1968)
Rannacher, R.: Zur \(L^{\infty }\)-Konvergenz linearer finiter Elemente beim Dirichlet-Problem. Math. Z. 149 (1), 69–77 (1976)
Rannacher, R.: Numerische Mathematik 2 (Numerik partieller Differentialgleichungen) (2008). URL http://numerik.iwr.uni-heidelberg.de/~lehre/notes/. Lecture Notes, University of Heidelberg, Germany
Rannacher, R., Scott, R.: Some optimal error estimates for piecewise linear finite element approximations. Math. Comp. 38 (158), 437–445 (1982). URL http://dx.doi.org/10.2307/2007280
Schatz, A.H., Wahlbin, L.B.: Maximum norm estimates in the finite element method on plane polygonal domains. I. Math. Comp. 32 (141), 73–109 (1978)
Schwab, C.: p- and hp-finite element methods. Numerical Mathematics and Scientific Computation. The Clarendon Press, Oxford University Press, New York (1998)
Strang, G., Fix, G.: An Analysis of the Finite Eelement Method, 2nd edn. Wellesley-Cambridge Press, Wellesley, MA (2008)
Thomée, V.: Galerkin finite element methods for parabolic problems. Springer Series in Computational Mathematics, vol. 25, 2nd edn. Springer, Berlin (2006)
Wheeler, M.F.: A priori L 2 error estimates for Galerkin approximations to parabolic partial differential equations. SIAM J. Numer. Anal. 10, 723–759 (1973)
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Bartels, S. (2016). Finite Element Method. In: Numerical Approximation of Partial Differential Equations. Texts in Applied Mathematics, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-319-32354-1_3
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