Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (5): 1639-1651.doi: 10.1007/s42967-023-00356-9

• ORIGINAL PAPERS • Previous Articles    

Practical Restrictively Preconditioned Conjugate Gradient Methods for a Class of Block Two-by-Two Linear Systems

Fang Chen, Shu-Ru He   

  1. School of Applied Science, Beijing Information Science and Technology University, Beijing, 100192, China
  • Received:2023-09-01 Revised:2023-11-26 Accepted:2023-11-27 Online:2024-02-05 Published:2024-02-05
  • Contact: Fang Chen,E-mail:chenfreesky@126.com E-mail:chenfreesky@126.com
  • Supported by:
    Supported by the R&D Program of Beijing Municipal Education Commission, China (No. KM202011232019).

Abstract: We further analyze the solution of a class of block two-by-two linear systems. Instead of using the preconditioned GMRES iteration methods, we propose a new approximation of the Schur complement based on the special structure of this kind of block two-by-two matrix, and construct a practical restrictive preconditioner accordingly. Subsequently, we propose a practical restrictively preconditioned conjugate gradient (RPCG) method to solve this class of linear systems. The convergence property of the practical RPCG method is similar to the RPCG method. Last, numerical experiments show that this method is more efficient than some classical preconditioned Krylov subspace iteration methods.

Key words: Block two-by-two matrix, Conjugate gradient method, Restrictive preconditioner