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Source: arpack
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Sylvestre Ledru <sylvestre@debian.org>
Section: math
Priority: optional
Build-Depends: dpkg-dev (>= 1.22.5), debhelper-compat (= 13),
gfortran,
cmake,
libblas-dev,
liblapack-dev,
libblas64-dev [!armel !armhf !i386 !hppa !hurd-i386 !m68k !powerpc !sh4 !x32],
liblapack64-dev [!armel !armhf !i386 !hppa !hurd-i386 !m68k !powerpc !sh4 !x32],
mpi-default-dev,
libeigen3-dev
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/science-team/arpack
Vcs-Git: https://salsa.debian.org/science-team/arpack.git
Homepage: https://github.com/opencollab/arpack-ng
Rules-Requires-Root: no
Package: libarpack2t64
Provides: ${t64:Provides}
Replaces: libarpack2
Breaks: libarpack2 (<< ${source:Version})
Architecture: any
Multi-Arch: same
Section: libs
Depends: ${shlibs:Depends},
${misc:Depends}
Description: Fortran77 subroutines to solve large scale eigenvalue problems
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems from significant
application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest
real part or largest magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
Important Features:
.
* Reverse Communication Interface.
* Single and Double Precision Real Arithmetic Versions for Symmetric,
Non-symmetric,
* Standard or Generalized Problems.
* Single and Double Precision Complex Arithmetic Versions for Standard or
Generalized Problems.
* Routines for Banded Matrices - Standard or Generalized Problems.
* Routines for The Singular Value Decomposition.
* Example driver routines that may be used as templates to implement
numerous Shift-Invert strategies for all problem types, data types and
precision.
.
This package contains the shared library.
Package: libarpack2-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends: libarpack2t64 (= ${binary:Version}),
libblas-dev | libblas.so,
liblapack-dev | liblapack.so,
${misc:Depends}
Description: Fortran77 subroutines to solve large scale eigenvalue problems (development)
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems from significant
application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest
real part or largest magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
This package contains the static libraries and the documentation for
development with libarpack (including examples).
Package: libparpack2t64
Provides: ${t64:Provides}
Replaces: libparpack2
Breaks: libparpack2 (<< ${source:Version})
Architecture: any
Multi-Arch: same
Section: libs
Depends: ${shlibs:Depends},
${misc:Depends}
Description: Parallel subroutines to solve large scale eigenvalue problems
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems from significant
application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest
real part or largest magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
Important Features:
.
* Reverse Communication Interface.
* Single and Double Precision Real Arithmetic Versions for Symmetric,
Non-symmetric,
* Standard or Generalized Problems.
* Single and Double Precision Complex Arithmetic Versions for Standard or
Generalized Problems.
* Routines for Banded Matrices - Standard or Generalized Problems.
* Routines for The Singular Value Decomposition.
* Example driver routines that may be used as templates to implement
numerous Shift-Invert strategies for all problem types, data types and
precision.
.
This package provides parpack: the MPI implementation of arpack.
.
This package contains the shared library.
Package: libparpack2-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends: libparpack2t64 (= ${binary:Version}),
libblas-dev | libblas.so,
liblapack-dev | liblapack.so,
mpi-default-dev,
${misc:Depends}
Description: Parallel subroutines to solve large scale eigenvalue problems (development)
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems from significant
application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest
real part or largest magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
This package contains the static libraries and the documentation for
development with libparpack (including examples).
Package: libarpack64-2
Architecture: any
Multi-Arch: same
Section: libs
Depends: ${shlibs:Depends},
${misc:Depends}
Description: Fortran77 subroutines to solve large scale eigenvalue problems
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems from significant
application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest
real part or largest magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
Important Features:
.
* Reverse Communication Interface.
* Single and Double Precision Real Arithmetic Versions for Symmetric,
Non-symmetric,
* Standard or Generalized Problems.
* Single and Double Precision Complex Arithmetic Versions for Standard or
Generalized Problems.
* Routines for Banded Matrices - Standard or Generalized Problems.
* Routines for The Singular Value Decomposition.
* Example driver routines that may be used as templates to implement
numerous Shift-Invert strategies for all problem types, data types and
precision.
.
This package contains the shared library with 64-bit integers.
Package: libarpack64-2-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends: libarpack64-2 (= ${binary:Version}),
libblas64-dev | libblas64.so,
liblapack64-dev | liblapack64.so,
${misc:Depends}
Description: Fortran77 subroutines to solve large scale eigenvalue problems (development)
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems from significant
application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest
real part or largest magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
This package contains the static libraries and the documentation for
development with libarpack (including examples) with 64-bit integers.
|
