首页 | 本学科首页   官方微博 | 高级检索  
     


Truncated VSV Solutions to Symmetric Rank-Deficient Problems
Authors:Ricardo D. Fierro  Per Christian Hansen
Affiliation:(1) Department of Mathematics, California State University, San Marcos, CA 92096, USA;(2) Informatics and Mathematical Modelling, Technical University of Denmark, Building 321, DK-2800 Lyngby, Denmark
Abstract:Symmetric VSV decompositions are new rank-revealing decompositions that exploit and preserve symmetry. Truncated VSV solutions are stabilized solutions computed by neglecting blocks in the VSV decomposition with small norm. We compare the truncated VSV solutions with truncated SVD solutions and give perturbation bounds for the VSV solutions. Numerical examples illustrate our results.
Keywords:Rank-revealing decompositions  accuracy  perturbation bounds
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号