Ubuntu
slepc package

slepc 3.19.2+dfsg1-2.1build2 source package in Ubuntu

Changelog

slepc (3.19.2+dfsg1-2.1build2) noble; urgency=medium

  * No-change rebuild for CVE-2024-3094

 -- William Grant <email address hidden>  Mon, 01 Apr 2024 15:44:54 +1100

Upload details

Uploaded by:
William Grant
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe libs
Noble release universe libs

Downloads

File Size SHA-256 Checksum
slepc_3.19.2+dfsg1.orig.tar.xz 3.4 MiB 37fc6ad5f294c5a69c773467065788cd3868c355a4f1eb6186ec2f789ad2ae4c
slepc_3.19.2+dfsg1-2.1build2.debian.tar.xz 20.7 KiB 1001d86769c452a34ead180cb450cd221c2699fae3dfdf9e9d838f39bb27adf6
slepc_3.19.2+dfsg1-2.1build2.dsc 3.4 KiB 265d77c8e8a210b658fb58260554c7841ae8d55314837ae0cd9082845f3f7662

View changes file

Binary packages built by this source

libslepc-complex-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 which depends on the latest version of SLEPc
 with complex number support.

libslepc-complex3.19-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 3.19 with complex numbers.

libslepc-complex3.19t64: 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 3.19
 with complex numbers.

libslepc-complex3.19t64-dbgsym: debug symbols for libslepc-complex3.19t64
libslepc-real-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 which depends on the latest version of SLEPc
 with real number support.

libslepc-real3.19-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 3.19 with real numbers.

libslepc-real3.19t64: 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 3.19 with real numbers.

libslepc-real3.19t64-dbgsym: debug symbols for libslepc-real3.19t64
libslepc3.19-dev-examples: 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 example, test, and tutorial scripts for SLEPc 3.19.

libslepc64-complex-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 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 which depends on the latest version of SLEPc
 with complex number support and 64-bit indexing.

libslepc64-complex3.19-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 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 3.19 with complex numbers and 64-bit indexing.

libslepc64-complex3.19t64: Scalable Library for Eigenvalue Problem Computations (64-bit)

 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 3.19
 with complex numbers and 64-bit indexing.

libslepc64-complex3.19t64-dbgsym: debug symbols for libslepc64-complex3.19t64
libslepc64-real-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 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 which depends on the latest version of SLEPc
 with real number support and 64-bit indexing.

libslepc64-real3.19-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 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 3.19 with real numbers and 64-bit indexing.

libslepc64-real3.19t64: Scalable Library for Eigenvalue Problem Computations (64-bit)

 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 3.19 with real
 numbers and 64-bit indexing.

libslepc64-real3.19t64-dbgsym: debug symbols for libslepc64-real3.19t64
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.

slepc3.19-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.

slepc64-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 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 with 64-bit indexing.