slepc 3.4.2.dfsg-1build1 source package in Ubuntu

Changelog

slepc (3.4.2.dfsg-1build1) trusty; urgency=medium

  * No change rebuild against libopenmpi 1.6.
 -- Dimitri John Ledkov <email address hidden>   Sun, 22 Dec 2013 04:08:28 +0000

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Uploaded by:
Dimitri John Ledkov
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Trusty release universe libs

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File Size SHA-256 Checksum
slepc_3.4.2.dfsg.orig.tar.gz 1.8 MiB 3045c1c36c50821a76f6aa01843279b16aab0bee94f8c57b9e05e25e09ac9264
slepc_3.4.2.dfsg-1build1.diff.gz 8.8 KiB a1ef291801d83ec189eb222f2e79d37a727decc3905ecdc4e7b2b00a48c5ef31
slepc_3.4.2.dfsg-1build1.dsc 2.3 KiB 7a751bd3804f81ecedc294d16cacae436cd49c8a6f4b4f22caf8b733c285846f

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Binary packages built by this source

libslepc3.4.2: No summary available for libslepc3.4.2 in ubuntu utopic.

No description available for libslepc3.4.2 in ubuntu utopic.

libslepc3.4.2-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.

libslepc3.4.2-dev: 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 libraries, shared links, and header files
 for SLEPC.

slepc3.4.2-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.