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math.NA2026

Fast computation of eigenvalues of periodic CMV matrices

Thomas Mach, Michele Rinelli, Raf Vandebril +1

Periodic CMV matrices are unitary matrices that can be specified by data. Their eigenvalues can be computed by standard methods, storing them as conventional matrices (using…

math.NA2026

Block Krylov subspaces and orthogonal matrix polynomials: a structural correspondence with applications to unitary matrices

Michele Rinelli, Raf Vandebril

We study the connection between block Krylov subspaces and matrix orthogonal functions. Under a no-deflation assumption, we show that polynomial block Krylov subspaces are isometri…

math.NA2025

Krylov and core transformation algorithms for an inverse eigenvalue problem to compute recurrences of multiple orthogonal polynomials

Amin Faghih, Michele Rinelli, Marc Van Barel +2

In this paper, we develop algorithms for computing the recurrence coefficients corresponding to multiple orthogonal polynomials on the step-line. We reformulate the problem as an i…

math.NA2024

Estimation of spectral gaps for sparse symmetric matrices

Michele Benzi, Michele Rinelli, Igor Simunec

In this paper we propose and analyze an algorithm for identifying spectral gaps of a real symmetric matrix by simultaneously approximating the traces of spectral projectors ass…

math.NA2023

Analysis of stochastic probing methods for estimating the trace of functions of sparse symmetric matrices

Andreas Frommer, Michele Rinelli, Marcel Schweitzer

We consider the problem of estimating the trace of a matrix function . In certain situations, in particular if cannot be well approximated by a low-rank matrix, combin…

math.NA2021

Refined decay bounds on the entries of spectral projectors associated with sparse Hermitian matrices

Michele Benzi, Michele Rinelli

Spectral projectors of Hermitian matrices play a key role in many applications, and especially in electronic structure computations. Linear scaling methods for gapped systems are b…