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math.NA2026

Randomized Flexible LSQR and LSMR with applications to inverse problems

Alberto Bucci, Silvia Gazzola, Leonardo Robol

LSQR and LSMR are iterative methods, based on the Golub-Kahan bidiagonalization algorithm, widely used for large-scale linear least squares problems. FLSQR and FLSMR are flexible v…

math.NA2026

Error formulas for block rational Krylov approximations of matrix functions

Stefano Massei, Leonardo Robol

This paper investigates explicit expressions for the error associated with the block rational Krylov approximation of matrix functions. Two formulas are proposed, both derived from…

math.NA2025

Backward errors for multiple eigenpairs in structured and unstructured nonlinear eigenvalue problems

Miryam Gnazzo, Leonardo Robol

Given a nonlinear matrix-valued function and approximate eigenpairs , we discuss how to determine the smallest perturbation such that $[F + δF](λ_i) v_…

math.NA2024

Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations

Ivan Bioli, Daniel Kressner, Leonardo Robol

This work is concerned with the numerical solution of large-scale symmetric positive definite matrix equations of the form $A_1XB_1^\top + A_2XB_2^\top + \dots + A_\ell X B_\ell^\t…

math.NA2024

Randomized sketched TT-GMRES for linear systems with tensor structure

Alberto Bucci, Davide Palitta, Leonardo Robol

In the last decade, tensors have shown their potential as valuable tools for various tasks in numerical linear algebra. While most of the research has been focusing on how to compr…

math.NA2024

Tropical Laurent series, their tropical roots, and localization results for the eigenvalues of nonlinear matrix functions

Gian Maria Negri Porzio, Vanni Noferini, Leonardo Robol

Tropical roots of tropical polynomials have been previously studied and used to localize roots of classical polynomials and eigenvalues of matrix polynomials. We extend the theory…