Session B7 - Numerical Linear Algebra
July 14, 18:00 ~ 18:30
Recent advances in low-rank approximations
Skolkovo Institute of Science and Technology, Russia - firstname.lastname@example.org
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.