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<item>
  <id>02220007</id>
  <dt>j</dt>
  <an>02220007</an>
  <augroup>
    <au>Bochev, Pavel</au>
    <au>Gunzburger, Max</au>
  </augroup>
  <ti>On least-squares finite element methods for the Poisson equation and their connection to the Dirichlet and Kelvin principles.</ti>
  <so>SIAM J. Numer. Anal. 43, No. 1, 340-362 (2005).</so>
  <py>2005</py>
  <pu>Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>least-squares finite element methods</ut>
    <ut>Kelvin principle</ut>
    <ut>Dirichlet principle</ut>
    <ut>BDM spaces</ut>
    <ut>BDDF spaces</ut>
    <ut>RT spaces</ut>
    <ut>mixed methods</ut>
    <ut>Poisson equation</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1137/S003614290443353X</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Least-squares finite element methods for first-order formulations of the Poisson equation are not subject to the inf-sup condition and lead to stable solutions even when all variables are approximated by equal-order continuous finite element spaces. For such elements, one can also prove optimal convergence in the "energy" norm (equivalent to a norm on $H^1(\Omega)\times H(\Omega,\text{div})$) for all variables and optimal $L^2$ convergence for the scalar variable. However, showing optimal $L^2$ convergence for the flux has proven to be impossible without adding the redundant curl equation to the first-order system of partial differential equations. In fact, numerical evidence strongly suggests that nodal continuous flux approximations do not posses optimal $L^2$ accuracy. We show that optimal $L^2$ error rates for the flux can be achieved without the curl constraint, provided that one uses the div-conforming family of Brezzi-Douglas-Marini or Brezzi-Douglas-Duran-Fortin elements. Then, we proceed to reveal an interesting connection between a least-squares finite element method involving $H(\Omega,\text{div})$-conforming flux approximations and mixed finite element methods based on the classical Dirichlet and Kelvin principles. We show that such least-squares finite element methods can be obtained by approximating, through an $L^2$ projection, the Hodge operator that connects the Kelvin and Dirichlet principles. Our principal conclusion is that when implemented in this way, a least-squares finite element method combines the best computational properties of finite element methods based on each of the classical principles.</ab>
    <rv></rv>
  </abgroup>
</item>