A bisection method is used to compute lower and upper bounds on the distance froma quadratic matrix polynomial to the set of quadratic matrix polynomials having aneigenvalue on the imaginary axis. Each bisection step requires to check whether aneven quadratic matrix polynomial has a purely imaginary eigenvalue. First, an upperbound is obtained using Frobenius-type linearizations. It takes into account roundingerrors but does not use the even structure. Then, lower and upper bounds are obtainedby reducing the quadratic matrix polynomial to a linear palindromic pencil. The boundsobtained this way also take into account rounding errors. Numerical illustrations arepresented
AbstractRecently, Psarrakos obtained a lower bound, which depends on a real parameter ν, for the dis...
AbstractFor a matrix polynomial P(λ) and a given complex number μ, we introduce a (spectral norm) di...
AbstractWe derive some new bounds for the distance between the roots of two polynomials in terms of ...
A bisection method is used to compute lower and upper bounds on the distance from a quadratic matrix...
A bisection method is used to compute lower and upper bounds on the distance from a quadratic matrix...
A bisection method is developed for computing the distance to instability of quadratic matrix polyno...
A bisection method is developed for computing the distance to instability of quadratic matrix polyno...
We describe a bisection method to determine the 2-norm and Frobenius norm - g distance from a given ...
A bisection method is developed for computing the distance to instability of quadratic matrix polyno...
AbstractIn this paper, a new fast algorithm for the computation of the distance of a stable matrix t...
We propose a method to compute the spectral norm distance from a given matrix A to the set of matric...
AbstractIn this note, we obtain a lower bound for the distance between the pseudospectrum of a matri...
Bhatia R, Elsner L, Krause G. Bounds for the variation of the roots of a polynomial and the eigenval...
Special Issue on Numerical Methods for Time-Delay SystemsA continuous dynamical system is stable if ...
This work concerns the distance in 2-norm from a matrix polynomial to a nearest poly-nomial with a s...
AbstractRecently, Psarrakos obtained a lower bound, which depends on a real parameter ν, for the dis...
AbstractFor a matrix polynomial P(λ) and a given complex number μ, we introduce a (spectral norm) di...
AbstractWe derive some new bounds for the distance between the roots of two polynomials in terms of ...
A bisection method is used to compute lower and upper bounds on the distance from a quadratic matrix...
A bisection method is used to compute lower and upper bounds on the distance from a quadratic matrix...
A bisection method is developed for computing the distance to instability of quadratic matrix polyno...
A bisection method is developed for computing the distance to instability of quadratic matrix polyno...
We describe a bisection method to determine the 2-norm and Frobenius norm - g distance from a given ...
A bisection method is developed for computing the distance to instability of quadratic matrix polyno...
AbstractIn this paper, a new fast algorithm for the computation of the distance of a stable matrix t...
We propose a method to compute the spectral norm distance from a given matrix A to the set of matric...
AbstractIn this note, we obtain a lower bound for the distance between the pseudospectrum of a matri...
Bhatia R, Elsner L, Krause G. Bounds for the variation of the roots of a polynomial and the eigenval...
Special Issue on Numerical Methods for Time-Delay SystemsA continuous dynamical system is stable if ...
This work concerns the distance in 2-norm from a matrix polynomial to a nearest poly-nomial with a s...
AbstractRecently, Psarrakos obtained a lower bound, which depends on a real parameter ν, for the dis...
AbstractFor a matrix polynomial P(λ) and a given complex number μ, we introduce a (spectral norm) di...
AbstractWe derive some new bounds for the distance between the roots of two polynomials in terms of ...