Package: QZ 0.2-4

QZ: 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).

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

QZ_0.2-4.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
QZ/json (API)

# Install 'QZ' in R:
install.packages('QZ', repos = c('https://snoweye.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/snoweye/qz/issues

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • exA1 - Small example datasets
  • exA2 - Small example datasets
  • exA3 - Small example datasets
  • exA4 - Small example datasets
  • exAB1 - Small example datasets
  • exAB2 - Small example datasets
  • exAB3 - Small example datasets
  • exAB4 - Small example datasets

On CRAN:

Conda:

openblas

5.44 score 2 stars 92 scripts 250 downloads 3 mentions 30 exports 2 dependencies

Last updated from:efc7d6cee9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK129
linux-devel-x86_64OK132
source / vignettesOK187
linux-release-arm64OK123
linux-release-x86_64OK127
macos-release-arm64OK121
macos-release-x86_64OK218
macos-oldrel-arm64OK123
macos-oldrel-x86_64OK191
windows-develOK122
windows-releaseOK107
windows-oldrelOK139
wasm-releaseOK102

Exports:fda.geigengeigenHordqzprint.dgeesprint.dgeevprint.dggesprint.dggevprint.dtgsenprint.dtrsenprint.zgeesprint.zgeevprint.zggesprint.zggevprint.ztgsenprint.ztrsenqzqz.dgeesqz.dgeevqz.dggesqz.dggevqz.dtgsenqz.dtrsenqz.geigenqz.zgeesqz.zgeevqz.zggesqz.zggevqz.ztgsenqz.ztrsen

Dependencies:latticeMatrix

QZ-guide

Rendered fromQZ-guide.Rnwusingutils::Sweaveon May 10 2026.

Last update: 2020-12-13
Started: 2013-07-03