A collection of Fortran77 subroutines for solving large scale eigenvalue problems.
 
Files
[binary rpm] 159k
Oct 24 13:35:50 CEST 2007
arpack-static-2.1-7.el4.i386.rpm  - Static library for developing arpack based applications

ARPACK is a collection of Fortran77 subroutines designed to solve
large scale eigenvalue problems. This ... [more]

[binary rpm] 156k
Oct 24 13:35:50 CEST 2007
arpack-devel-2.1-7.el4.i386.rpm  - Files needed for developing arpack based applications

ARPACK is a collection of Fortran77 subroutines designed to solve
large scale eigenvalue problems. This ... [more]

[binary rpm] 129k
Oct 24 13:35:49 CEST 2007
arpack-2.1-7.el4.i386.rpm  - Fortran77 subroutines for solving large scale eigenvalue problems

ARPACK is a collection of Fortran77 subroutines designed to solve large
scale eigenvalue problems.

The ... [more]

[binary rpm] 171k
Oct 24 13:34:29 CEST 2007
arpack-static-2.1-7.el4.x86_64.rpm  - Static library for developing arpack based applications

ARPACK is a collection of Fortran77 subroutines designed to solve
large scale eigenvalue problems. This ... [more]

[binary rpm] 156k
Oct 24 13:34:29 CEST 2007
arpack-devel-2.1-7.el4.x86_64.rpm  - Files needed for developing arpack based applications

ARPACK is a collection of Fortran77 subroutines designed to solve
large scale eigenvalue problems. This ... [more]

[binary rpm] 132k
Oct 24 13:34:29 CEST 2007
arpack-2.1-7.el4.x86_64.rpm  - Fortran77 subroutines for solving large scale eigenvalue problems

ARPACK is a collection of Fortran77 subroutines designed to solve large
scale eigenvalue problems.

The ... [more]


[src.rpm   ] 879k
Oct 24 13:28:00 CEST 2007
arpack-2.1-7.src.rpm  - Fortran77 subroutines for solving large scale eigenvalue problems

ARPACK is a collection of Fortran77 subroutines designed to solve large
scale eigenvalue problems.

The ... [more]

[specfile  ] 4.2k
Oct 24 13:27:12 CEST 2007
arpack.spec  - Fortran77 subroutines for solving large scale eigenvalue problems

ARPACK is a collection of Fortran77 subroutines designed to solve large
scale eigenvalue problems.

The ... [more]


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