slepc 3.12.2+dfsg1-1build1 source package in Ubuntu
Changelog
slepc (3.12.2+dfsg1-1build1) focal; urgency=medium * No-change rebuild for libgcc-s1 package name change. -- Matthias Klose <email address hidden> Sun, 22 Mar 2020 16:58:00 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Focal
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- libs
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Focal | release | universe | libs |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| slepc_3.12.2+dfsg1.orig.tar.xz | 1.8 MiB | 9073eaa0703f4facbe5d48e2fd999803cb09f1a0be3943b843d0030d5798ce99 |
| slepc_3.12.2+dfsg1-1build1.debian.tar.xz | 16.0 KiB | 72771544d63d1154a907761e8da903af379cfa908d736f49ebedb50313bad355 |
| slepc_3.12.2+dfsg1-1build1.dsc | 2.6 KiB | e2b00088621e02b86e53c508ec0c396676fb9c048798334c64af4923193f130e |
Available diffs
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: No summary available for libslepc3.12-dev-examples in ubuntu groovy.
No description available for libslepc3.
12-dev- examples in ubuntu groovy.
- 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.
