SIAM Journal on Scientific and Statistical Computing
Distribution of mathematical software via electronic mail
Communications of the ACM
Accurate solutions of ill-posed problems in control theory
SIAM Journal on Matrix Analysis and Applications
Accurate singular values of bidiagonal matrices
SIAM Journal on Scientific and Statistical Computing
ACM Transactions on Mathematical Software (TOMS)
An Algorithm for Numerical Computation of the Jordan Normal Form of a Complex Matrix
ACM Transactions on Mathematical Software (TOMS)
ACM Transactions on Mathematical Software (TOMS)
ACM Transactions on Mathematical Software (TOMS)
ACM Transactions on Mathematical Software (TOMS)
Proceedings of the 43rd annual Design Automation Conference
A new approach to modeling multiport systems from fequency-domain data
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Fiedler Companion Linearizations and the Recovery of Minimal Indices
SIAM Journal on Matrix Analysis and Applications
On the Kronecker Canonical Form of Mixed Matrix Pencils
SIAM Journal on Matrix Analysis and Applications
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Robust software with error bounds for computing the generalized Schur decomposition of an arbitrary matrix pencil A – &lgr;B (regular or singular) is presented. The decomposition is a generalization of the Schur canonical form of A – &lgr;I to matrix pencils and reveals the Kronecker structure of a singular pencil. The second part of this two-part paper describes the computed generalized Schur decomposition in more detail and the software, and presents applications and an example of its use. Background theory and algorithms for the decomposition and its error bounds are presented in Part I of this paper.