Eigenvalues and Singular Values and Vectors from Large Matrices
c(person("Eloy", "Romero", role=c("aut", "cre"), email="eloy@cs.wm.edu"),
person("Andreas", "Stathopoulos", role="aut", email="andreas@cs.wm.edu"),
person("College of William & Mary", role="cph"))
R interface to PRIMME, a C library for computing a few
eigenvalues and their corresponding eigenvectors of a real symmetric or complex
Hermitian matrix.  It can also compute singular values and vectors of a square
or rectangular matrix.  It can find largest, smallest, or interior
singular/eigenvalues and can use preconditioning to accelerate convergence.
A POSIX system. Currently Linux and OS X are known
to work. GNU make.
Eloy Romero [aut, cre],
Andreas Stathopoulos [aut],
College of William & Mary [cph]

R interface to 'PRIMME' <http://www.cs.wm.edu/~andreas/software>, a C library for computing a few
eigenvalues and their corresponding eigenvectors of a real symmetric or complex
Hermitian matrix, or generalized Hermitian eigenproblem.  It can also compute
singular values and vectors of a square or rectangular matrix. 'PRIMME' finds
largest, smallest, or interior singular/eigenvalues and can use preconditioning
to accelerate convergence. General description of the methods are provided in the papers
Stathopoulos (2010, <doi:10.1145/1731022.1731031>) and Wu (2017, <doi:10.1137/16M1082214>).
See 'citation("PRIMME")' for details.

c(person("Eloy", "Romero", role=c("aut", "cre"), email="eloy@cs.wm.edu"),
person("Andreas", "Stathopoulos", role="aut", email="andreas@cs.wm.edu"),
person("Lingfei", "Wu", role="aut", email="wuli@us.ibm.com"),
person("College of William & Mary", role="cph"))
R interface to 'PRIMME' <http://www.cs.wm.edu/~andreas/software/>, a C library for computing a few
eigenvalues and their corresponding eigenvectors of a real symmetric or complex
Hermitian matrix, or generalized Hermitian eigenproblem.  It can also compute
singular values and vectors of a square or rectangular matrix. 'PRIMME' finds
largest, smallest, or interior singular/eigenvalues and can use preconditioning
to accelerate convergence. General description of the methods are provided in the papers
Stathopoulos (2010, <doi:10.1145/1731022.1731031>) and Wu (2017, <doi:10.1137/16M1082214>).
See 'citation("PRIMME")' for details.
Eloy Romero [aut, cre],
Andreas Stathopoulos [aut],
Lingfei Wu [aut],
College of William & Mary [cph]