A collection of Fortran77 subroutines for solving large scale eigenvalue problems.
 
Files
[binary rpm] 102k
Nov 14 09:26:33 CET 2010
arpack-static-2.1-12.el6.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] 88k
Nov 14 09:26:33 CET 2010
arpack-devel-2.1-12.el6.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] 104k
Nov 14 09:26:33 CET 2010
arpack-2.1-12.el6.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]

[binary rpm] 97k
Nov 14 09:27:47 CET 2010
arpack-static-2.1-12.el6.i686.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] 88k
Nov 14 09:27:47 CET 2010
arpack-devel-2.1-12.el6.i686.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] 100k
Nov 14 09:27:47 CET 2010
arpack-2.1-12.el6.i686.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   ] 871k
Jul 10 23:49:04 CEST 2010
arpack-2.1-12.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  ] 4.5k
Sep 25 22:38:48 CEST 2008
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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