A Flexible-Scalar Splitting Iterative Method for Linear Inverse Problems with Complex Symmetric Matrix

Authors

  • Ruiping Wen School of Mathematics and Statistics, Taiyuan Normal University, Jinzhong, China
  • Dongqi Li School of Mathematics and Statistics, Taiyuan Normal University, Jinzhong, China
  • Zubair Ahmed Institute of Mathematics and Computer Science, University of Sindh, Jamshoro, Pakistan
  • Jinrui Guan School of Mathematics and Statistics, Taiyuan Normal University, Jinzhong, China
  • Owais Ali Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

DOI:

https://doi.org/10.53560/PPASA(62-4)697

Keywords:

Inverse Problem, Complex Symmetric Matrix, Splitting, Iterative Method, Flexible-scalar

Abstract

This paper introduces a flexible scalar-splitting (f-SCSP) iterative scheme and examines its convergence properties. The approach also yields a straightforward matrix-splitting preconditioner for the original linear system. To confirm the theoretical results and evaluate practical performance, comprehensive numerical examinations are performed on various test cases. The findings indicate that the proposed method is practical, reliable, and more efficient than existing techniques for handling demanding classes of complex symmetric linear systems.

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Published

2025-12-24

How to Cite

Wen, R., Li, D., Ahmed, Z., Guan, J., & Owais Ali. (2025). A Flexible-Scalar Splitting Iterative Method for Linear Inverse Problems with Complex Symmetric Matrix. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 62(4). https://doi.org/10.53560/PPASA(62-4)697

Issue

Section

Research Articles

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