A Note on the Stability of the Sherman–Morrison–Woodbury Formula

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Authors: Linkai Ma, Christos Boutsikas, Mehrdad Ghadiri, Petros Drineas
Cited by: 0

Abstract

Abstract. We study the numerical stability of the Sherman–Morrison–Woodbury (SMW) identity. Let [Formula: see text], and assume [Formula: see text] and [Formula: see text] both have full column rank. We explore error bounds for the SMW identity when we are only able to compute approximate inverses. For both forward and backward errors, we present upper bounds as a function of the two-norm error of the approximate inverses. We verify with numerical experiments that, in certain cases, our bounds accurately capture the behavior of the errors. Reproducibility of computational results. This paper has been awarded the “SIAM Reproducibility Badge: Code and data available” as a recognition that the authors have followed reproducibility principles valued by SIMAX and the scientific computing community. Code and data that allow readers to reproduce the results in this paper are available at https://github.com/LinkaiMa/SMW . [Formula: see text]

Fields of Study & Subjects

Matrix Theory and Algorithms Stochastic Gradient Optimization Techniques Numerical methods in inverse problems

Publication details

Journal / source
SIAM Journal on Matrix Analysis and Applications
Volume
47
Issue
2
Pages
702–723
Publication date
12 June 2026
Language
EN