New Applications of Matrix Methods
Николай Леонидович Замарашкин, Ivan Valer'evich Oseledets, Eugene Evgen'evich Tyrtyshnikov · Computational Mathematics and Mathematical Physics · 2021
Abstract Modern directions in the development of matrix methods and their applications described in the present issue are overviewed. Special attention is given to methods associated with separation of variables, special decompositions of matrices and tensors implementing this technique, related algorithms, and their applications to multidimensional problems in computational mathematics, data analysis, and machine learning.