slepc 3.6.1.dfsg1-2build2 source package in Ubuntu
Changelog
slepc (3.6.1.dfsg1-2build2) xenial; urgency=medium * No-change rebuild for openmpi on s390x. -- Matthias Klose <email address hidden> Sun, 07 Feb 2016 13:20:12 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Xenial
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- libs
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Xenial | release | universe | libs |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| slepc_3.6.1.dfsg1.orig.tar.xz | 1.3 MiB | b517d39def6d42831a53b60f1c8a63a66ca3f36af165980a65236a2247cbcb68 |
| slepc_3.6.1.dfsg1-2build2.debian.tar.xz | 12.0 KiB | 063be90ad1d3b337ca45c0ce1b2a07ebf0173eca4120fb17a0834708e8e47779 |
| slepc_3.6.1.dfsg1-2build2.dsc | 2.7 KiB | b2bd9a3e8898a82006ecb6e4a39bb024c9cb1023f52e7c1fd64ba77b3a471784 |
Available diffs
Binary packages built by this source
- libslepc-complex-3.6: 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-complex-3.6-dbgsym: No summary available for libslepc-complex-3.6-dbgsym in ubuntu yakkety.
No description available for libslepc-
complex- 3.6-dbgsym in ubuntu yakkety.
- libslepc-complex-3.6.1-dbg: No summary available for libslepc-complex-3.6.1-dbg in ubuntu yakkety.
No description available for libslepc-
complex- 3.6.1-dbg in ubuntu yakkety.
- libslepc-complex-3.6.1-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-complex-3.6.1-dev-dbgsym: debug symbols for package libslepc-complex-3.6.1-dev
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.
- libslepc3.6: 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.
- libslepc3.6-dbgsym: debug symbols for package libslepc3.6
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.
- libslepc3.6.1-dbg: 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 debugging libraries for SLEPc with real numbers.
- libslepc3.6.1-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.
- libslepc3.6.1-dev-dbgsym: debug symbols for package libslepc3.6.1-dev
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.
- slepc-dev: No summary available for slepc-dev in ubuntu yakkety.
No description available for slepc-dev in ubuntu yakkety.
- slepc-dev-dbgsym: debug symbols for package slepc-dev
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 virtual package which depends on the latest version of SLEPc.
- slepc3.6.1-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.
