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slepc package

slepc 3.20.2+dfsg1-2build1 source package in Ubuntu

Changelog

slepc (3.20.2+dfsg1-2build1) oracular; urgency=medium

  * No-change rebuild against mpi-defaults 1.17

 -- Erich Eickmeyer <email address hidden>  Thu, 01 Aug 2024 08:53:15 -0700

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Uploaded by:
Erich Eickmeyer
Uploaded to:
Oracular
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Oracular proposed universe libs

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File Size SHA-256 Checksum
slepc_3.20.2+dfsg1.orig.tar.xz 3.4 MiB 412a9f6701a7107c4c7ed4571acc3668057834aff0058e2573ce1435378b55ca
slepc_3.20.2+dfsg1-2build1.debian.tar.xz 21.7 KiB e3141c1cb88d95281ebd6f7b1fb85dcde9aeda5d48b4c1fe458d22d228ab94ea
slepc_3.20.2+dfsg1-2build1.dsc 3.0 KiB a76571c00cb6fea423753980913c9639bbd1d7296c9f82e26be246f6c6434419

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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-complex3.20: 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 3.20
 with complex numbers.

libslepc-complex3.20-dbgsym: debug symbols for libslepc-complex3.20
libslepc-complex3.20-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 3.20 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-real3.20: 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 3.20 with real numbers.

libslepc-real3.20-dbgsym: debug symbols for libslepc-real3.20
libslepc-real3.20-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 3.20 with real numbers.

libslepc3.20-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 3.20.

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-complex3.20: 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 3.20
 with complex numbers and 64-bit indexing.

libslepc64-complex3.20-dbgsym: debug symbols for libslepc64-complex3.20
libslepc64-complex3.20-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 3.20 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-real3.20: 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 3.20 with real
 numbers and 64-bit indexing.

libslepc64-real3.20-dbgsym: debug symbols for libslepc64-real3.20
libslepc64-real3.20-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 3.20 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.

slepc3.20-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.