activity
20162022
most citedOn bundles of matrix pencils under strict equivalence

1 citations · 1 across the 6 of their papers we have counts for

collaborators

13 papers

math.NA2022

Linearizations of matrix polynomials viewed as Rosenbrock's system matrices

Froilán M. Dopico, Silvia Marcaida, María C. Quintana +1

A well known method to solve the Polynomial Eigenvalue Problem (PEP) is via linearization. That is, transforming the PEP into a generalized linear eigenvalue problem with the same…

math.NA2022

Generic eigenstructures of Hermitian pencils

Fernando De Terán, Andrii Dmytryshyn, Froilán M. Dopico

We obtain the generic complete eigenstructures of complex Hermitian matrix pencils with rank at most (with ). To do this, we prove that the set of such pen…

math.SP20221 cited

On bundles of matrix pencils under strict equivalence

Fernando De Terán, Froilán M. Dopico

Bundles of matrix pencils (under strict equivalence) are sets of pencils having the same Kronecker canonical form, up to the eigenvalues (namely, they are an infinite union of orbi…

math.NA2021

Strongly minimal self-conjugate linearizations for polynomial and rational matrices

Froilán M. Dopico, María C. Quintana, Paul Van Dooren

We prove that we can always construct strongly minimal linearizations of an arbitrary rational matrix from its Laurent expansion around the point at infinity, which happens to be t…

math.NA2021

Structural backward stability in rational eigenvalue problems solved via block Kronecker linearizations

Froilán M. Dopico, María C. Quintana, Paul Van Dooren

We study the backward stability of running a backward stable eigenstructure solver on a pencil that is a strong linearization of a rational matrix expressed in the fo…

math.NA2020

Block Full Rank Linearizations of Rational Matrices

Froilán M. Dopico, Silvia Marcaida, María C. Quintana +1

Block full rank pencils introduced in [Dopico et al., Local linearizations of rational matrices with application to rational approximations of nonlinear eigenvalue problems, Linear…