Linearizations for Rational Matrix Functions and Rosenbrock System Polynomials
DOI10.1137/15M1008622zbMath1376.65042OpenAlexW2303035367MaRDI QIDQ2797106
Publication date: 4 April 2016
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/15m1008622
eigenvaluelinearizationminimal realizationeigenvectorzerosspectrummatrix polynomialmatrix pencilpolesLTI systemFiedler pencilrational matrix function
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Eigenvalues, singular values, and eigenvectors (15A18) Hermitian, skew-Hermitian, and related matrices (15B57) Numerical computation of matrix norms, conditioning, scaling (65F35)
Related Items (22)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The continuing influence of Fiedler's work on companion matrices
- Spectral equivalence of matrix polynomials and the index sum theorem
- Numerical simulation of three dimensional pyramid quantum dot
- Existence and location of eigenvalues for fluid-solid structures
- Rational Krylov for nonlinear eigenproblems, an iterative projection method.
- Eigenfrequencies of a tube bundle placed in a confined fluid
- A rational spectral problem in fluid-solid vibration
- An Arnoldi method for nonlinear eigenvalue problems
- The eigenstructure of an arbitrary polynomial matrix: Computational aspects
- Preconditioned iterative methods for a class of nonlinear eigenvalue problems
- Iterative projection methods for computing relevant energy states of a quantum dot
- Solving Rational Eigenvalue Problems via Linearization
- Fiedler Companion Linearizations and the Recovery of Minimal Indices
- NLEVP
- Linearization of regular matrix polynomials
- A minimax principle for nonlinear eigenvalue problems with applications to nonoverdamped systems
- The generalized Schur decomposition of an arbitrary pencil A–λB—robust software with error bounds and applications. Part I
- The generalized Schur decomposition of an arbitrary pencil A–λB—robust software with error bounds and applications. Part II
- A new family of companion forms of polynomial matrices
- Nonlinear eigenvalue problems: a challenge for modern eigenvalue methods
- Vector Spaces of Linearizations for Matrix Polynomials
- Algorithms for the Nonlinear Eigenvalue Problem
- Computational Science - ICCS 2004
This page was built for publication: Linearizations for Rational Matrix Functions and Rosenbrock System Polynomials