Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (4): 1580-1597.doi: 10.1007/s42967-023-00358-7

• ORIGINAL PAPERS • Previous Articles     Next Articles

On Multi-step Greedy Kaczmarz Method for Solving Large Sparse Consistent Linear Systems

Long-Ze Tan1, Ming-Yu Deng2, Xue-Ping Guo1   

  1. 1. Key Laboratory of MEA (Ministry of Education) & Shanghai Key Laboratory of PMMP, School of Mathematical Sciences, East China Normal University, Shanghai, 200241, China;
    2. School of International Trade and Economics, University of International Business and Economics, Beijing, 100029, China
  • Received:2022-11-20 Revised:2023-12-01 Accepted:2023-12-03 Online:2024-03-25 Published:2024-03-25
  • Supported by:
    This work is partly supported by the National Natural Science Foundation of China (No. 12071149), the Science and Technology Commission of Shanghai Municipality of China (No. 22DZ2229014), and the National Key R &D Program of China (No. 2022YFA1004403).

Abstract: Based on the greedy randomized Kaczmarz (GRK) method, we propose a multi-step greedy Kaczmarz method for solving large-scale consistent linear systems, utilizing multi-step projection techniques. Its convergence is proved when the linear system is consistent. Numerical experiments demonstrate that the proposed method is effective and more efficient than several existing classical Kaczmarz methods.

Key words: System of linear equations, Kaczmarz method, Greedy randomized Kaczmarz (GRK) method, Multi-step greedy Kaczmarz method, Convergence

CLC Number: