Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2024, Vol. 41 ›› Issue (3): 587-594.doi: 10.3969/j.issn.1005-3085.2024.03.016

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Newton Iterative Methods for a Class of Quadratic Matrix Equations and Its Convergence

LIU Landong,   LIU Ming   

  1. School of Science, China University of Mining and Technology (Beijing), Beijing 100083
  • Received:2021-10-06 Accepted:2022-06-01 Online:2024-06-15 Published:2024-08-15
  • Supported by:
    The Xinqiao Engineering Project of China University of Mining and Technology (Beijing); the Demonstration Course Construction Project for Course Ideology and Politics of China University of Mining and Technology (Beijing) (62911008).

Abstract: Quadratic matrix equation is an important kind of equations in scientific and engineering computations, and it is a meaningful work to explore some effective numerical methods. A special class of quadratic matrix equations derived from quasi-birth-death processes is studied. The quasi-birth-death process has important applications in many fields such as stock price simulation, inventory control, queuing theory, etc. Under the assumption that the minimum non-negative solution exists and is unique, the Newton iteration method is proposed and its convergence is proved. When the initial matrix is zero matrix, the matrix sequence generated by Newton iteration method converges to the unique minimum non-negative solution. Finally, numerical examples are used to verify the effectiveness and feasibility of the algorithm.

Key words: quadratic matrix equation, the process of quasi-birth and death, minimum non-negative solution, Newton iteration, convergence

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