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    Article

    Low-Rank Approximation Algorithms for Matrix Completion with Random Sampling

    The possibility of accelerating a projection algorithm onto dominant singular spaces in the problem of recovering a low-rank matrix from a small number of its entries is explored. The underlying idea is to rep...

    O. S. Lebedeva, A. I. Osinsky, S. V. Petrov in Computational Mathematics and Mathematical… (2021)

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    Article

    Block tensor conjugate gradient-type method for Rayleigh quotient minimization in two-dimensional case

    A method for solving a partial algebraic eigenvalues problem is constructed. It exploits tensor structure of eigenvectors in two-dimensional case. For a symmetric matrix represented in tensor format, the metho...

    O. S. Lebedeva in Computational Mathematics and Mathematical Physics (2010)