c(person("Binghuang","Pan",role=c("aut","cre"),
email = "bright1up@163.com"),
person("Zhaoyuan","Yu",role="aut",
email = "yuzhaoyuan@njnu.edu.cn"),
person("Xu","Hu",role="ctb"),
person("Yuhao","Teng",role="ctb"))
Binghuang Pan [aut, cre],
Zhaoyuan Yu [aut],
Xu Hu [ctb],
Yuhao Teng [ctb]

The modeling and prediction of graph-associated time series(GATS) based on continuous time quantum walk. This software is mainly used for feature extraction, modeling, prediction and result evaluation of GATS, including continuous time quantum walk simulation, feature selection, regression analysis, time series prediction, and series fit calculation.

Generalized Eigenvalues and QZ Decomposition
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"))
QZ package provides generalized eigenvalues and QZ
decomposition (generalized Schur form) for an N-by-N
nonsymmetric matrix A or paired matrices (A,B) with eigenvalues
reordering mechanism. The package is mainly based complex*16
and double precision of LAPACK library (version 3.4.2.)

Wei-Chen Chen, partly adapted and using routines from LAPACK.
QZ package provides generalized eigenvalues and QZ
decomposition (generalized Schur form) for an N-by-N
non-symmetric matrix A or paired matrices (A,B) with
eigenvalues reordering mechanism. The package is mainly based
complex*16 and double precision of LAPACK library (version
3.4.2.)

See QZ/inst/LAPACK_LICENSE.txt for the files in src/qz/.

Generalized eigenvalues and QZ decomposition
(generalized Schur form) for an N-by-N non-symmetric
matrix A or paired matrices (A,B) with eigenvalues reordering
mechanism. The package is mainly based complex*16 and double
precision of LAPACK library (version 3.4.2.)

c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email=
"wccsnow@gmail.com"), person("LAPACK authors", role = c("aut", "cph")))
Wei-Chen Chen [aut, cre],
LAPACK authors [aut, cph]

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 3.4.2. or later).