mtj 0.9.14+dfsg-7 source package in Ubuntu
Changelog
mtj (0.9.14+dfsg-7) unstable; urgency=medium * Team upload. * Source-only upload. (Closes: #953119) * Standards-Version: 4.5.0 * Set "Rules-Requires-Root: no" in debian/control -- tony mancill <email address hidden> Thu, 05 Mar 2020 06:36:30 -0800
Upload details
- Uploaded by:
- Debian Java Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian Java Maintainers
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| mtj_0.9.14+dfsg-7.dsc | 2.0 KiB | a53973811cee3f2cd84b8d7f5cfc1ab4341ac51cda63e3f1de1c1b329999fba2 |
| mtj_0.9.14+dfsg.orig.tar.gz | 137.8 KiB | 0f85c35d5016c37cc1f004efe5f6acbaad95f641226c911ca298b054f5f5e74a |
| mtj_0.9.14+dfsg-7.debian.tar.xz | 3.5 KiB | 07324bac6e97bdf0dfca87835e2e3fec4e1e9de065107e390124b68d87c4200c |
Available diffs
- diff from 0.9.14+dfsg-6 to 0.9.14+dfsg-7 (542 bytes)
No changes file available.
Binary packages built by this source
- libmtj-java: Java library for developing numerical applications
MTJ is designed to be used as a library for developing numerical
applications, both for small and large scale computations. The library
is based on BLAS and LAPACK for its dense and structured sparse
computations, and on the Templates project for unstructured sparse
operations.
.
MTJ uses the netlib-java project as a backend, which can be set up to
use machine-optimised BLAS libraries for improved performance of dense
matrix operations, falling back to a pure Java implementation. This
ensures perfect portability, while allowing for improved performance in
a production environment.
- libmtj-java-doc: Java library for developing numerical applications (documentation)
MTJ is designed to be used as a library for developing numerical
applications, both for small and large scale computations. The library
is based on BLAS and LAPACK for its dense and structured sparse
computations, and on the Templates project for unstructured sparse
operations.
.
MTJ uses the netlib-java project as a backend, which can be set up to
use machine-optimised BLAS libraries for improved performance of dense
matrix operations, falling back to a pure Java implementation. This
ensures perfect portability, while allowing for improved performance in
a production environment.
.
This package contains the javadoc documentation files.
