SIAM Journal on Matrix Analysis and Applications · 2016 · 45 citations · 21 references
Natural SciencesComputer ScienceMathematicsAlgebraAlgorithmsDynamical SystemsEigenvalue ProblemsLinear AlgebraMatrix ComputationNumerical Linear AlgebraLinear Time-invariant SystemsLinearizationState-space Equations
Our aim in this paper is twofold: First, for solving rational eigenproblems we introduce linearizations of rational matrix functions and propose a framework for their constructions via minimal realizations. We also introduce Fiedler-like pencils for rational matrix functions and show that the Fiedler-like pencils are linearizations of the rational matrix functions. Second, for computing zeros of a linear time-invariant system $\Sigma$ in state-space form, we introduce a trimmed structured linearization, which we refer to as a Rosenbrock linearization, of the Rosenbrock system polynomial $\mathcal{S}(\lambda)$ associated with $\Sigma.$ Also we introduce Fiedler-like pencils for $\mathcal{S}(\lambda),$ describe an algorithm for their constructions, and show that the Fiedler-like pencils are Rosenbrock linearizations of the system polynomial $\mathcal{S}(\lambda).$
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Timo Betcke, Nicholas J. Higham, Volker Mehrmann et al. · ACM Transactions on Mathematical Software · 2013 · 308 citations
Algorithms for the Nonlinear Eigenvalue Problem
Axel Ruhe · SIAM Journal on Numerical Analysis · 1973 · 283 citations