Ubuntu
slepc package

slepc 3.1-p6.dfsg-1 source package in Ubuntu

Changelog

slepc (3.1-p6.dfsg-1) unstable; urgency=low

  [ Christophe Prud'homme ]
  * New upstream release
  * Bug fix: "please upgrade 3.1", thanks to trophime (Closes: #610587).
  * Bug fix: "ftbfs with gold or ld --no-add-needed", thanks to Matthias
    Klose (Closes: #615774).
  * Bug fix: "FTBFS on armel, ia64, mips and sparc", thanks to Mehdi
    Dogguy (Closes: #623447).
  * debian/patches: update petsc-shlib-link.patch for slepc 3.1
 -- Ubuntu Archive Auto-Sync <email address hidden>   Sat,  30 Apr 2011 13:44:35 +0000

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Uploaded by:
Ubuntu Archive Auto-Sync
Uploaded to:
Oneiric
Original maintainer:
Debian Science Team
Architectures:
any
Section:
libs
Urgency:
Low Urgency

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Downloads

File Size SHA-256 Checksum
slepc_3.1-p6.dfsg.orig.tar.gz 1.0 MiB 6913e444c119f57c7c9c2705a9e594904d3fbebf02e7ce0cc4db348b07d5ef9f
slepc_3.1-p6.dfsg-1.diff.gz 8.3 KiB c444337fcd46735d2b5445f2fd40f7b691a176996ab3525e51e8c0a75ec5e969
slepc_3.1-p6.dfsg-1.dsc 1.4 KiB a3e875c4dc4fb2f5acc482ca5f833caaa68959d36e284c2d647a686a526e60d7

Available diffs

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Binary packages built by this source

libslepc3.1: No summary available for libslepc3.1 in ubuntu quantal.

No description available for libslepc3.1 in ubuntu quantal.

libslepc3.1-dbg: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This package contains the static debugging libraries for SLEPc.

libslepc3.1-dev: No summary available for libslepc3.1-dev in ubuntu quantal.

No description available for libslepc3.1-dev in ubuntu quantal.

slepc3.1-doc: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This package contains the documentation and examples for SLEPc.