openKylin arpack package

arpack 3.9.1-ok2 source package in openKylin

Changelog

arpack (3.9.1-ok2) huanghe; urgency=medium

  * rebuild for libopenmpi40

 -- tangxiaofeng <email address hidden>  Wed, 23 Sep 2026 11:10:20 +0800

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Uploaded by:
tangxiaofeng
Sponsored by:
Cibot
Uploaded to:
Huanghe V3.0
Original maintainer:
Openkylin Developers
Architectures:
any
Section:
math
Urgency:
Medium Urgency

Publishing See full publishing history

Series Pocket Published Component Section
Huanghe V3.0 proposed main math

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File Size SHA-256 Checksum
arpack_3.9.1-ok2.tar.xz 245.6 KiB 876cc38381015e5d41f950cb5f858e6b8cf49b2bec2d30e903a9d21546d25606
arpack_3.9.1-ok2.dsc 1.8 KiB dd99267717ba4e47fa20db7ef93a13ec722bd4af6e9ac42a8698f471bdcdcc2d

Available diffs

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Binary packages built by this source

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).

libarpack2t64: 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.

libarpack2t64-dbgsym: debug symbols for libarpack2t64
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).

libparpack2t64: 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.

libparpack2t64-dbgsym: debug symbols for libparpack2t64