slepc 3.13.3+dfsg1-3 source package in Ubuntu

Changelog

slepc (3.13.3+dfsg1-3) unstable; urgency=medium

  * fix SLEPC64_DIR_COMPLEX path in libslepc64-complex3.13-dev.prerm

 -- Drew Parsons <email address hidden>  Tue, 11 Aug 2020 21:54:23 +0800

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Uploaded by:
Debian Science Team on 2020-08-11
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
devel
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Hirsute release on 2020-10-23 universe libs
Groovy release on 2020-08-12 universe libs

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slepc_3.13.3+dfsg1.orig.tar.xz 1.8 MiB 9a758db3e400190c56e395c14d6445337c001e813da4d916019b78e9fc261d55
slepc_3.13.3+dfsg1-3.debian.tar.xz 18.8 KiB 19ed529c7880b61caeb63ea0b859a8aea8f21e33d02fa20e0c7aac85e8ba6538

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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-complex3.13: 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 3.13
 with complex numbers.

libslepc-complex3.13-dbgsym: debug symbols for libslepc-complex3.13
libslepc-complex3.13-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 3.13 with complex numbers.

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-real3.13: 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 3.13 with real numbers.

libslepc-real3.13-dbgsym: debug symbols for libslepc-real3.13
libslepc-real3.13-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 3.13 with real numbers.

libslepc3.13-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 3.13.

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-complex3.13: 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 3.13
 with complex numbers and 64-bit indexing.

libslepc64-complex3.13-dbgsym: debug symbols for libslepc64-complex3.13
libslepc64-complex3.13-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 3.13 with complex numbers and 64-bit indexing.

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-real3.13: 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 3.13 with real
 numbers and 64-bit indexing.

libslepc64-real3.13-dbgsym: debug symbols for libslepc64-real3.13
libslepc64-real3.13-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 3.13 with real numbers and 64-bit indexing.

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.

slepc3.13-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.