slepc 3.19.2+dfsg1-1 source package in Ubuntu
Changelog
slepc (3.19.2+dfsg1-1) unstable; urgency=medium [ Drew Parsons ] * New upstream release * update debian/watch to catch past versions of upstream slepc-with-docs tarballs [ Francesco Ballarin ] * Reinstate docs generation. -- Drew Parsons <email address hidden> Fri, 22 Dec 2023 11:15:54 +0100
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- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- devel
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
slepc_3.19.2+dfsg1-1.dsc | 3.3 KiB | 8ed84d32f3df8703768d702d3aa8210ad707897aeb1bfd7920803e046de470a9 |
slepc_3.19.2+dfsg1.orig.tar.xz | 3.4 MiB | 37fc6ad5f294c5a69c773467065788cd3868c355a4f1eb6186ec2f789ad2ae4c |
slepc_3.19.2+dfsg1-1.debian.tar.xz | 20.0 KiB | 65177fea272ffb5ea0165d77d1231b90580cc79573159c16f809ee63c68cd8ff |
No changes file available.
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: No summary available for libslepc-complex3.19 in ubuntu noble.
No description available for libslepc-
complex3. 19 in ubuntu noble.
- libslepc-complex3.19-dbgsym: No summary available for libslepc-complex3.19-dbgsym in ubuntu noble.
No description available for libslepc-
complex3. 19-dbgsym in ubuntu noble.
- 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-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: No summary available for libslepc-real3.19 in ubuntu noble.
No description available for libslepc-real3.19 in ubuntu noble.
- libslepc-real3.19-dbgsym: No summary available for libslepc-real3.19-dbgsym in ubuntu noble.
No description available for libslepc-
real3.19- dbgsym in ubuntu noble.
- 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.
- 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: No summary available for libslepc64-complex3.19 in ubuntu noble.
No description available for libslepc64-
complex3. 19 in ubuntu noble.
- libslepc64-complex3.19-dbgsym: No summary available for libslepc64-complex3.19-dbgsym in ubuntu noble.
No description available for libslepc64-
complex3. 19-dbgsym in ubuntu noble.
- 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-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: No summary available for libslepc64-real3.19 in ubuntu noble.
No description available for libslepc64-real3.19 in ubuntu noble.
- libslepc64-real3.19-dbgsym: No summary available for libslepc64-real3.19-dbgsym in ubuntu noble.
No description available for libslepc64-
real3.19- dbgsym in ubuntu noble.
- 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.
- 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.