【作者单位】11. Department of Applied Mathematics, Taiyuan University, Taiyuan 030032, Shanxi, China;22. Key Laboratory for Engineering and Computing Science, Shanxi Provincial Department of Education, Taiyuan Normal University, Jinzhong 030619, Shanxi, China
【年份】2023
【卷号】Vol.8 No.1
【页码】1127-1138
【关键词】singular value decomposition power method alternating direction implicit singular value singular vector convergence
【摘要】 The singular value decomposition is an important tool in matrix theory and numerical linear algebra. Research on the efficient numerical algorithms for computing the SVD of a matrix is extensive in the past decades. In this paper, we propose an alte...