<p>We present a high-order interior penalty discontinuous Galerkin method based on a reconstructed approximation to the biharmonic equation. The first contribution is that the approximation space is reconstructed from nodal values by solving a local least squares fitting problem per element. The numerical solution converges with optimal rates under error measurements. The second contribution is that an optimal preconditioned solver is proposed to solve the linear system efficiently that not only the condition number of the preconditioned system admits a uniform upper bound independent of the mesh size, but also the solver for the preconditioning matrix is of the optimal convergence rate. Such advantages for solvers to linear systems from penalty methods are seldom attained before.</p>

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An optimal preconditioned discontinuous Galerkin method for biharmonic equation with \(C^0\)-reconstructed approximation

  • Ruo Li,
  • Qicheng Liu,
  • Fanyi Yang

摘要

We present a high-order interior penalty discontinuous Galerkin method based on a reconstructed approximation to the biharmonic equation. The first contribution is that the approximation space is reconstructed from nodal values by solving a local least squares fitting problem per element. The numerical solution converges with optimal rates under error measurements. The second contribution is that an optimal preconditioned solver is proposed to solve the linear system efficiently that not only the condition number of the preconditioned system admits a uniform upper bound independent of the mesh size, but also the solver for the preconditioning matrix is of the optimal convergence rate. Such advantages for solvers to linear systems from penalty methods are seldom attained before.