mtj 0.9.14+dfsg-5 source package in Ubuntu

Changelog

mtj (0.9.14+dfsg-5) unstable; urgency=medium

  * Deactivate watch file since in debian/README.source is declared that
    we do not really want to package the new versions
  * debhelper 12
  * Point Vcs fields to salsa.debian.org
  * Standards-Version: 4.3.0
  * Secure URI in copyright format

 -- Andreas Tille <email address hidden>  Sun, 13 Jan 2019 12:19:38 +0100

Upload details

Uploaded by:
Debian Java Maintainers on 2019-01-13
Uploaded to:
Sid
Original maintainer:
Debian Java Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 multiverse java
Disco release on 2019-01-13 multiverse java

Builds

Disco: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
mtj_0.9.14+dfsg-5.dsc 2.0 KiB c6e47ef5dede9d1370b32d23a365529d0f61e4b94faa92db26c377e2b670dbf4
mtj_0.9.14+dfsg.orig.tar.gz 137.8 KiB 0f85c35d5016c37cc1f004efe5f6acbaad95f641226c911ca298b054f5f5e74a
mtj_0.9.14+dfsg-5.debian.tar.xz 3.4 KiB 09c26e83abfdaaee17e0002ca740c87888dc9bd7852ef04ef0678506e8523539

Available diffs

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.