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Least-Squares Methods For Linear Elasticity Based On A Discrete Negative Norm (2001)  (Make Corrections)  (1 citation)
James H. Bramble, Raytcho D. Lazarov, Joseph E. Pasciak



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Abstract: . The purpose of this paper is to develop and analyze least-squares approximations for elasticity problems. The major advantage of the least-square formulation is that it does not require that the classical Ladyzhenskaya-Babuska-Brezzi (LBB) condition be satisfied. By employing least-squares functionals which involve a discrete inner product which is related to the inner product in H \Gamma1(\Omega\Gamma (the Sobolev space of order minus one on \Omega\Gamma we develop a finite element method... (Update)

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BibTeX entry:   (Update)

J. H. Bramble, R. D. Lazarov, and J. E. Pasciak, Least-squares methods for linear elasticity based on a discrete minus one inner product, Computer Meth. Appl. Mech. Engng. 191, 8-10 (2001), 727--744. http://citeseer.ist.psu.edu/article/bramble01leastsquares.html   More

@misc{ bramble01leastsquares,
  author = "J. Bramble and R. Lazarov and J. Pasciak",
  title = "Least-squares methods for linear elasticity based on a discrete minus one
    inner product",
  text = "J. H. Bramble, R. D. Lazarov, and J. E. Pasciak, Least-squares methods
    for linear elasticity based on a discrete minus one inner product, Computer
    Meth. Appl. Mech. Engng. 191, 8-10 (2001), 727--744.",
  year = "2001",
  url = "citeseer.ist.psu.edu/article/bramble01leastsquares.html" }
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