Package: QZ 0.2-3

Wei-Chen Chen

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_0.2-3.tar.gz
QZ_0.2-3.tar.gz(r-4.5-noble)QZ_0.2-3.tar.gz(r-4.4-noble)
QZ_0.2-3.tgz(r-4.4-emscripten)QZ_0.2-3.tgz(r-4.3-emscripten)
QZ.pdf |QZ.html✨
QZ/json (API)

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.90 score 53 scripts 317 downloads 3 mentions 30 exports 2 dependencies

Last updated 1 years agofrom:58e1ab0db6. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-linux-x86_64OKOct 09 2024

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 Oct 09 2024.

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