arpack 3.8.0-2 source package in Ubuntu

Changelog

arpack (3.8.0-2) unstable; urgency=medium

  * Team upload.
  * DEP5
  * Standards-Version: 4.6.1 (routine-update)
  * debhelper-compat 13 (routine-update)
  * Fix Maintainer name of Debian Science team (routine-update)
  * Add salsa-ci file (routine-update)
  * Rules-Requires-Root: no (routine-update)
  * Drop transition for old debug package migration.
  * Install cmake and pkgconfig files
  * debian/not-installed for *.la files

 -- Andreas Tille <email address hidden>  Wed, 30 Nov 2022 09:51:15 +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_3.8.0-2.dsc 2.1 KiB 10f96d956a9f69fe19d71fedf4443dca7a932fe67333684f4eca5892a4fbe329
arpack_3.8.0.orig.tar.gz 990.7 KiB ada5aeb3878874383307239c9235b716a8a170c6d096a6625bfd529844df003d
arpack_3.8.0-2.debian.tar.xz 9.5 KiB 6d55959a719e0333ec44b06a5c29f4c436ca9883ff77ffc941027b21cb72b64e

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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-dbgsym: debug symbols for libarpack2
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-dbgsym: debug symbols for libparpack2
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).