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:
QZ_0.2-4.tar.gz
QZ_0.2-4.tar.gz(r-4.7-arm64)QZ_0.2-4.tar.gz(r-4.7-x86_64)QZ_0.2-4.tar.gz(r-4.6-arm64)QZ_0.2-4.tar.gz(r-4.6-x86_64)
QZ_0.2-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
QZ/json (API)
| # Install 'QZ' in R: |
| install.packages('QZ', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4336594123. Checks:4 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 125 | ||
| linux-devel-x86_64 | NOTE | 141 | ||
| source / vignettes | OK | 224 | ||
| linux-release-arm64 | NOTE | 119 | ||
| linux-release-x86_64 | NOTE | 127 | ||
| wasm-release | OK | 109 |
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
