Conference abstracts

Session B7 - Numerical Linear Algebra

July 14, 18:00 ~ 18:30

Recent advances in low-rank approximations

Ivan Oseledets

Skolkovo Institute of Science and Technology, Russia   -   i.oseledets@skoltech.ru

In this talk, I will give a brief overview of our recent results in theory, algorithms, and applications of low-rank approximations of matrices and tensors. These include: 1) Jacobi-Davidson method for the optimization over low-rank matrix manifolds 2) Desingularization approach for optimization over low-rank matrix sets 3) Several new applications of tensors in chemistry, physics, machine learning.

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