---
- branch: MAIN
  date: Tue Dec 19 12:28:50 UTC 2023
  files:
  - new: '1.582'
    old: '1.581'
    path: pkgsrc/math/Makefile
    pathrev: pkgsrc/math/Makefile@1.582
    type: modified
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/armadillo/DESCR
    pathrev: pkgsrc/math/armadillo/DESCR@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/armadillo/Makefile
    pathrev: pkgsrc/math/armadillo/Makefile@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/armadillo/PLIST
    pathrev: pkgsrc/math/armadillo/PLIST@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/armadillo/buildlink3.mk
    pathrev: pkgsrc/math/armadillo/buildlink3.mk@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/armadillo/distinfo
    pathrev: pkgsrc/math/armadillo/distinfo@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/armadillo/patches/patch-CMakeLists.txt
    pathrev: pkgsrc/math/armadillo/patches/patch-CMakeLists.txt@1.1
    type: added
  id: 20231219T122850Z.f9dda56e6421f98ca8d49089bf58b113297e0ec6
  log: |
    math/armadillo: C++ linear algebra library

    longer form:

    Armadillo is a high quality linear algebra library (matrix maths) for the
    C++ language, aiming towards a good balance between speed and ease of use

    Provides high-level syntax and functionality deliberately similar
    to Matlab

    Useful for algorithm development directly in C++, or quick conversion
    of research code into production environments

    Provides efficient classes for vectors, matrices and cubes; dense and
    sparse matrices are supported

    Integer, floating point and complex numbers are supported

    A sophisticated expression evaluator (based on template meta-programming)
    automatically combines several operations to increase speed and efficiency

    Dynamic evaluation automatically chooses optimal code paths based on
    detected matrix structures

    Various matrix decompositions (eigen, SVD, QR, etc) are provided
    through integration with LAPACK, or one of its high performance drop-in
    replacements (eg. MKL or OpenBLAS)

    Can automatically use OpenMP multi-threading (parallelisation) to speed
    up computationally expensive operations

    Distributed under the permissive Apache 2.0 license, useful for both
    open-source and proprietary (closed-source) software

    Can be used for machine learning, pattern recognition, computer vision,
    signal processing, bioinformatics, statistics, finance, etc
  module: pkgsrc
  subject: 'CVS commit: pkgsrc/math'
  unixtime: '1702988930'
  user: thor