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slepc package

slepc 3.18.1+dfsg1-1 source package in Ubuntu

Changelog

slepc (3.18.1+dfsg1-1) unstable; urgency=medium

  * New upstream release.

 -- Drew Parsons <email address hidden>  Tue, 06 Dec 2022 19:10:55 +0100

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Uploaded by:
Debian Science Team
Uploaded to:
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Original maintainer:
Debian Science Team
Architectures:
any all
Section:
devel
Urgency:
Medium Urgency

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slepc_3.18.1+dfsg1.orig.tar.xz 3.3 MiB 67cfa5e175ad9232cb26e5de1e885482c9367337d2a3dfdf30163595d26bee3f
slepc_3.18.1+dfsg1-1.debian.tar.xz 19.7 KiB 97400037b4d21b8fd4df0011cc70f0d5d7f9994750c96e0d6851856546ceebdd

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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-complex3.18: 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 3.18
 with complex numbers.

libslepc-complex3.18-dbgsym: debug symbols for libslepc-complex3.18
libslepc-complex3.18-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 3.18 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-real3.18: 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 3.18 with real numbers.

libslepc-real3.18-dbgsym: debug symbols for libslepc-real3.18
libslepc-real3.18-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 3.18 with real numbers.

libslepc3.18-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 3.18.

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-complex3.18: 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 3.18
 with complex numbers and 64-bit indexing.

libslepc64-complex3.18-dbgsym: debug symbols for libslepc64-complex3.18
libslepc64-complex3.18-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 3.18 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-real3.18: 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 3.18 with real
 numbers and 64-bit indexing.

libslepc64-real3.18-dbgsym: debug symbols for libslepc64-real3.18
libslepc64-real3.18-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 3.18 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.

slepc3.18-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.