Randomized Low-Rank Approximation for Symmetric Indefinite Matrices-Reference-Cited by-同舟云学术

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Randomized Low-Rank Approximation for Symmetric Indefinite Matrices

Published:2023-09-08 Issue:3 Volume:44 Page:1370-1392
ISSN:0895-4798
Container-title:SIAM Journal on Matrix Analysis and Applications
language:en
Short-container-title:SIAM J. Matrix Anal. Appl.

Author:

Nakatsukasa Yuji¹^ORCID,Park Taejun¹^ORCID

Affiliation:

1. Mathematical Institute, University of Oxford, Oxford, OX2 6GG, UK.

Funder

Helibronn Institute for Mathematical Research

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Analysis

Reference26 articles.

1. Improved Matrix Algorithms via the Subsampled Randomized Hadamard Transform

2. Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets

3. Low-Rank Approximation and Regression in Input Sparsity Time

4. Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection

5. Local Operator Theory, Random Matrices and Banach Spaces

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