Generalized Eigenvalues and QZ Decomposition

Generalized eigenvalues and eigenvectors use QZ decomposition (generalized Schur decomposition). The decomposition needs an N-by-N non-symmetric matrix A or paired matrices (A,B) with eigenvalues reordering mechanism. The decomposition functions are mainly based Fortran subroutines in complex*16 and double precision of LAPACK library (version 3.10.0 or later).


QZ

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  • Author: Wei-Chen Chen

QZ is an R package providing QZ factorization for generalized eigenvalues and eigenvectors via QZ decomposition (generalized Schur decomposition). Typically, the decomposition needs an N-by-N non-symmetric matrix A or paired matrices (A,B) with eigenvalues reordering mechanism. The decomposition functions are mainly based Fortran subroutines in complex*16 and double precision of LAPACK library (version 3.4.2. or later).

QZ requires

  • R version 3.6.0 or higher.
  • For installing QZ, see INSTALL file for details.
  • More information about QZ can be found in the QZ vignette at QZ/inst/doc/QZ-guide.pdf.

Reference manual

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install.packages("QZ")

0.2-4 by Wei-Chen Chen, a year ago


Browse source code at https://github.com/cran/QZ


Authors: Wei-Chen Chen [aut, cre] , LAPACK authors [aut, cph]


Documentation:   PDF Manual  


Mozilla Public License 2.0 license


Depends on methods, Matrix

Suggests fda


Imported by HDTSA, qpmR.


See at CRAN