slepc 3.12.1+dfsg1-1 source package in Ubuntu
Changelog
slepc (3.12.1+dfsg1-1) unstable; urgency=medium
* New upstream release.
* skip build-time tests on x32 (they consistently time out)
* install examples and datafiles into /usr/share/slepc/3.12 not
/usr/share/doc/libslepc3.12-dev-examples. Closes: #945339.
-- Drew Parsons <email address hidden> Wed, 18 Dec 2019 20:46:43 +1100
Upload details
- 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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| slepc_3.12.1+dfsg1-1.dsc | 2.6 KiB | 732b54117f334d21e667273f770feea5a74ed3b0f279c6a49b365e38c12bf22d |
| slepc_3.12.1+dfsg1.orig.tar.xz | 1.8 MiB | 0f35cd6b32c8f1ea6cecc85f13eee4bbfaab51f35b4fe32446a66f4387a82a0d |
| slepc_3.12.1+dfsg1-1.debian.tar.xz | 15.9 KiB | 2a1c4c7bd6f0d8522ac5936c0e8358be48675659f38e90e2a00391f40aa8c526 |
Available diffs
No changes file available.
Binary packages built by this source
- libslepc-complex3.12: 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 with complex numbers.
- libslepc-complex3.12-dbgsym: debug symbols for libslepc-complex3.12
- libslepc-complex3.12-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 with complex numbers.
- libslepc-real3.12: 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 with real numbers.
- libslepc-real3.12-dbgsym: debug symbols for libslepc-real3.12
- libslepc-real3.12-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 with real numbers.
- libslepc3.12-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 3.12.
- 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.
- slepc3.12-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.
