Source: mtj Maintainer: Debian Java Maintainers Uploaders: Andreas Tille 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.