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slepc package

slepc 3.7.4+dfsg1-2build6 source package in Ubuntu

Changelog

slepc (3.7.4+dfsg1-2build6) bionic; urgency=medium

  * Rebuild against new hypre 2.13.

 -- Gianfranco Costamagna <email address hidden>  Tue, 12 Dec 2017 12:16:58 +0100

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Uploaded by:
Gianfranco Costamagna
Uploaded to:
Bionic
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
slepc_3.7.4+dfsg1.orig.tar.gz 2.8 MiB 7259acf4b14312607e48c2657f082fcea77f93bee678f2b216cfbdbe5abea76b
slepc_3.7.4+dfsg1-2build6.debian.tar.xz 14.1 KiB 3b8004d71b251e96ca87aab0e8e999027814c14ecd151301e9198b2d7794ce3e
slepc_3.7.4+dfsg1-2build6.dsc 2.6 KiB e325de7ab4e94dd082df722d2a68438724e16c40475e3b0aa0de8fcca1047c5f

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Binary packages built by this source

libslepc-complex-3.7-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 is a dummy package that depends on the latest version of SLEPc 3.7
 which provides the static libraries, shared links, and header files
 for SLEPc with complex numbers.

libslepc-complex-3.7.4: 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 shared libraries for SLEPc with complex numbers.

libslepc-complex-3.7.4-dbgsym: debug symbols for libslepc-complex-3.7.4
libslepc-complex-3.7.4-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 with complex numbers.

libslepc3.7-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 is a dummy package that depends on the latest version of SLEPc 3.7
 which provides the static libraries, shared links, and header files
 for SLEPc with real numbers.

libslepc3.7.4: 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 shared libraries for SLEPc with real numbers.

libslepc3.7.4-dbgsym: debug symbols for libslepc3.7.4
libslepc3.7.4-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 with real numbers.

slepc-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 is a dependency package which depends on the latest version of SLEPc.

slepc3.7.4-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.