RUS  ENG
Full version
JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2023 Volume 63, Number 11, Page 1816 (Mi zvmmf11645)

This article is cited in 1 paper

General numerical methods

Lower bounds for column matrix approximations

A. I. Osinsky

Institute of Numerical Mathematics, RAS, 119991 Moscow, RAS, Gubkina Street, 8, Russia

Abstract: We show a connection between lower and upper bounds on the column matrix approximation accuracy and the bounds on the norms of the pseudoinverses of the submatrices of orthogonal matrices. This connection is exploited to derive lower bounds for column approximations accuracy in spectral and Frobenius norms.

Key words: low-rank approximation, column subset selection, well-conditioned submatrices.

UDC: 512.643

Received: 20.06.2023
Revised: 20.06.2023
Accepted: 25.07.2023

Language: English

DOI: 10.31857/S0044466923110248


 English version:
Computational Mathematics and Mathematical Physics, 2023, 63:11, 2024–2037

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2026