activity
20162023
most citedLyapunov and Sylvester equations: A quadrature framework

11 citations · 23 across the 13 of their papers we have counts for

collaborators

14 papers

math.NA2023★ 4 cited

On a family of low-rank algorithms for large-scale algebraic Riccati equations

Christian Bertram, Heike Faßbender

In [3] it was shown that four seemingly different algorithms for computing low-rank approximate solutions to the solution of large-scale continuous-time algebraic Riccati…

math.NA2022

The Hamiltonian Extended Krylov Subspace Method

Peter Benner, Heike Faßbender, Michel-Niklas Senn

An algorithm for constructing a -orthogonal basis of the extended Krylov subspace $H^{2r-1}u, H^{-1}u, H^{-2}u,…

math.NA2020

A rational Even-IRA algorithm for the solution of T-even polynomial eigenvalue problems

Peter Benner, Heike Fassbender, Philip Saltenberger

In this work we present a rational Krylov subspace method for solving real large-scale polynomial eigenvalue problems with T-even (that is, symmetric/skew-symmetric) structure. Our…

math.NA2020

Riccati ADI: Existence, uniqueness and new iterative methods

Christian Bertram, Heike Faßbender

The approximate solution of large-scale algebraic Riccati equations is considered. We are interested in approximate solutions which yield a Riccati residual matrix of a particular…

math.NA2020

Nearly optimal scaling in the SR decomposition

Heike Fassbender, Miroslav Rozloznik, Sanja Singer

In this paper we analyze the nearly optimal block diagonal scalings of the rows of one factor and the columns of the other factor in the triangular form of the SR decomposition. Th…

math.NA2020

A link between gramian based model order reduction and moment matching

Christian Bertram, Heike Faßbender

We analyze a family of Runge-Kutta based quadrature algorithms for the approximation of the gramians of linear time invariant dynamical systems. The approximated gramians are used…

math.NA2019

Simultaneous hollowisation, joint numerical range, and stabilization by noise

Tobias Damm, Heike Fassbender

We consider orthogonal transformations of arbitrary square matrices to a form where all diagonal entries are equal. In our main results we treat the simultaneous transformation of…

math.NA2019

A note on the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices

Heike Faßbender, Martin Halwaß

The singular values of an involutory matrix appear in pairs while the singular values may appear in pairs or by themselves.…

math.NA2019★ 11 cited

Lyapunov and Sylvester equations: A quadrature framework

Christian Bertram, Heike Faßbender

This paper introduces a novel framework for the solution of (large-scale) Lyapunov and Sylvester equations derived from numerical integration methods. Suitable systems of ordinary…

math.NA2018★ 1 cited

On normal and structured matrices under unitary structure-preserving transformations

Erna Begovic, Heike Fassbender, Philip Saltenberger

Structured canonical forms under unitary and suitable structure-preserving similarity transformations for normal and (skew-)Hamiltonian as well as normal and per(skew)-Hermitian ma…

math.NA2016★ 2 cited

On a new kind of Ansatz Spaces for Matrix Polynomials

Heike Fassbender, Philip Saltenberger

In this paper, we introduce a new family of equations for matrix pencils that may be utilized for the construction of strong linearizations for any square or rectangluar matrix pol…

math.RA2016

On vector spaces of linearizations for matrix polynomials in orthogonal bases

Heike Faßbender, Philip Saltenberger

Matrix polynomials given in an orthogonal basis are considered. Following the ideas of Mackey et al. "Vector spaces of Linearizations for Matrix Polynomials" (2006), the vec- tor s…

math.NA2016★ 4 cited

Symmetric and skew-symmetric block-Kronecker linearizations

Heike Faßbender, Javier Perez, Nikta Shayanfar

Many applications give rise to structured matrix polynomials. The problem of constructing structure-preserving strong linearizations of structured matrix polynomials is revisited i…

math.NA2016★ 1 cited

Preconditioned Iterative Solves in Model Reduction of Second Order Linear Dynamical Systems

Navneet Pratap Singh, Kapil Ahuja, Heike Fassbender

Recently a new algorithm for model reduction of second order linear dynamical systems with proportional damping, the Adaptive Iterative Rational Global Arnoldi (AIRGA) algorithm, h…