An Adaptive Least-Squares Mixed Finite Element Method for Fourth Order Parabolic Problems

نویسندگان

  • Ning Chen
  • Haiming Gu
چکیده

A least-squares mixed finite element (LSMFE) method for the numerical solution of fourth order parabolic problems analyzed and developed in this paper. The Ciarlet-Raviart mixed finite element space is used to approximate. The a posteriori error estimator which is needed in the adaptive refinement algorithm is proposed. The local evaluation of the least-squares functional serves as a posteriori error estimator. The posteriori errors are effectively estimated. The convergence of the adaptive least-squares mixed finite element method is proved.

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تاریخ انتشار 2013