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Michiel Hochstenbach: Some linear algebra techniques for Big Data problems

Datum objave: 1. 4. 2019
Vir: Seminar za numerično analizo
Sreda, 3.4.2019, od 10h do 11h, soba 3.06 na Jadranski 21
We review several linear algebra techniques that are relevant for the study of Big Data, such as matrix decompositions, eigenvalues and singular values.