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arpack package

arpack 3.1.5-1 source package in Ubuntu

Changelog

arpack (3.1.5-1) unstable; urgency=medium


  * New upstream release
  * Fix the m86k symbols list (Closes: #726969)
  * Fix the arm64 symbol list
  * Remove mpi-dep-lib.diff (applied upstream)
  * Standards-Version updated to version 3.9.5

 -- Sylvestre Ledru <email address hidden>  Sat, 15 Feb 2014 15:16:49 +0100

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
math
Urgency:
Medium Urgency

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arpack_3.1.5-1.dsc 2.3 KiB afb2433e4ce0c6f3fa0909c23620c6ab43dba7324504ad6a6a951ce224b4d444
arpack_3.1.5.orig.tar.gz 1.4 MiB a269ce7806bc77ced31ef794d23c3e3aff8543b65550fd7e3e24660f2a79d515
arpack_3.1.5-1.debian.tar.xz 8.0 KiB 8cfe4791a0c3ecdb020bcd9ca73de06f43c6f2d14ac26b8c4d8528492894b95a

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Binary packages built by this source

libarpack2: 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.

libarpack2-dbg: Fortran77 subroutines to solve large scale eigenvalue problems (debug)

 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 debugging symbols for libarpack and libparpack.

libarpack2-dev: 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).

libparpack2: 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.

libparpack2-dbg: Parallel subroutines to solve large scale eigenvalue problems (debug)

 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 debugging symbols for libparpack.

libparpack2-dev: 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).