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A class of new extended generalized shift-splitting preconditioners for \(3\times 3\) block saddle point problems

  • Qili Tang,
  • Zhijia Wang,
  • Lina Yin

摘要

This paper introduces a class of new extended generalized shift-splitting (NEGSS) preconditioners for solving the \(3\times 3\) 3 × 3 block saddle point problems (SPPs). The algorithm implementation of the NEGSS preconditioner, the convergence of the NEGSS iteration method and the eigenvalue distribution of the corresponding preconditioned matrix with parameter t are investigated. Numerical experiments demonstrate the effectiveness of the proposed method and verify our theoretical results.