<p>We present an efficient method for solving a class of <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(4\times 4\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>4</mn> <mo>×</mo> <mn>4</mn> </mrow> </math></EquationSource> </InlineEquation> block saddle-point systems arising from the finite element discretization of the generalized three-dimensional Stokes problem. The spectral properties of the preconditioned system are investigated, including the distribution of eigenvalues and the behavior of the associated eigenvectors. To efficiently handle multiple right-hand sides within the resulting subsystems, we propose the Preconditioned Global Conjugate Gradient (PGCG) method as a block iterative solver and establish new convergence results. Numerical experiments demonstrate that the proposed preconditioned iterative approach substantially improves the efficiency of solving the 3D Stokes problem.</p>

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New block preconditioner for solving block four-by-four saddle-point problems

  • Achraf Badahmane

摘要

We present an efficient method for solving a class of \(4\times 4\) 4 × 4 block saddle-point systems arising from the finite element discretization of the generalized three-dimensional Stokes problem. The spectral properties of the preconditioned system are investigated, including the distribution of eigenvalues and the behavior of the associated eigenvectors. To efficiently handle multiple right-hand sides within the resulting subsystems, we propose the Preconditioned Global Conjugate Gradient (PGCG) method as a block iterative solver and establish new convergence results. Numerical experiments demonstrate that the proposed preconditioned iterative approach substantially improves the efficiency of solving the 3D Stokes problem.