1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53
|
Source: mtj
Maintainer: Debian Java Maintainers <pkg-java-maintainers@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: java
Priority: optional
Build-Depends: debhelper (>= 12~),
javahelper,
default-jdk (>= 1:1.6),
ant,
libnetlib-java
Standards-Version: 4.3.0
Vcs-Browser: https://salsa.debian.org/java-team/mtj
Vcs-Git: https://salsa.debian.org/java-team/mtj.git
Homepage: https://github.com/fommil/matrix-toolkits-java/
Package: libmtj-java
Architecture: all
Depends: ${misc:Depends},
${java:Depends}
Recommends: ${java:Recommends}
Description: 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.
Package: libmtj-java-doc
Architecture: all
Section: contrib/doc
Depends: ${misc:Depends},
${java:Depends}
Recommends: ${java:Recommends}
Description: 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.
|