A literature survey of matrix methods for data science-Reference-Cited by-同舟云学术

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A literature survey of matrix methods for data science

Published:2020-09 Issue:3 Volume:43 Page:
ISSN:0936-7195
Container-title:GAMM-Mitteilungen
language:en
Short-container-title:GAMM‐Mitteilungen

Author:

Stoll Martin¹

Affiliation:

1. Chair of Scientific Computing, Department of Mathematics TU Chemnitz Chemnitz Germany

Publisher

Wiley

Subject

Applied Mathematics,General Physics and Astronomy,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gamm.202000013

Reference312 articles.

1. E.Abbe E.Boix P.Ralli andC.Sandon Graph powering and spectral robustness (2018) arXiv preprint arXiv:1809.04818.

2. Time-series clustering – A decade review

3. A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification

4. NFFT Meets Krylov Methods: Fast Matrix-Vector Products for the Graph Laplacian of Fully Connected Networks

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