Tree:
cc72a3d5d8
11.0
12.0
12.1
12.2
13.0
13.1
13.37
14.0
14.1
14.2
15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
libressl-gopher-test
master
misc-fixes
python-renames
rworkman
urchlay
user/aclemons/updates
user/anddt/development/acpica
user/anddt/development/glm
user/anddt/development/gnustep-base
user/anddt/development/gnustep-make
user/anddt/games/assaultcube-reloaded
user/anddt/games/doomseeker
user/anddt/games/prboom-plus
user/anddt/games/rocksndiamonds
user/anddt/games/rottexpr
user/anddt/games/srb2
user/anddt/graphics/blender
user/anddt/graphics/maim
user/anddt/ham/chirp
user/anddt/ham/hamlib
user/anddt/libraries/girara
user/anddt/libraries/goffice
user/anddt/libraries/gtksourceview4
user/anddt/libraries/imlib2
user/anddt/libraries/jsoncpp
user/anddt/libraries/libnova
user/anddt/libraries/libopenmpt
user/anddt/libraries/libtorrent
user/anddt/libraries/wxGTK3
user/anddt/libraries/xmlrpc-c
user/anddt/misc/discount
user/anddt/misc/slop
user/anddt/network/nethogs
user/anddt/network/putty
user/anddt/network/rclone
user/anddt/network/rtorrent
user/anddt/network/sshguard
user/anddt/network/strongswan
user/anddt/network/umurmur
user/anddt/network/yt-dlp
user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
user/anddt/system/conky
user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
user/anddt/system/worker
user/anddt/system/xen
user/anddt/system/zzzfm
user/belka/updates
user/chris.willing/updates
user/dslackw/updates
user/elyk/updates
user/kingbeowulf/updates
user/mario/updates
user/ponce/updates
user/pprkut/updates
willysr
wxWidgets-wip
GPG-KEY
15.0-20230325.1
15.0-20230318.1
15.0-20230312.1
15.0-20230304.1
15.0-20230225.1
15.0-20230218.1
15.0-20230211.1
15.0-20230204.1
15.0-20230128.1
15.0-20230121.1
15.0-20230114.1
15.0-20230107.1
15.0-20221231.1
15.0-20221223.1
15.0-20221217.1
15.0-20221210.1
15.0-20221203.1
15.0-20221126.1
15.0-20221119.1
15.0-20221112.1
15.0-20221105.1
15.0-20221029.1
15.0-20221020.1
15.0-20221015.1
15.0-20221008.1
15.0-20221001.1
15.0-20220925.1
15.0-20220917.1
15.0-20220910.1
15.0-20220903.1
15.0-20220827.1
15.0-20220820.1
15.0-20220813.1
15.0-20220806.1
15.0-20220730.1
15.0-20220723.1
15.0-20220716.1
15.0-20220709.1
15.0-20220702.1
15.0-20220618.1
15.0-20220611.1
15.0-20220604.1
15.0-20220528.1
15.0-20220521.1
15.0-20220514.1
15.0-20220507.1
15.0-20220430.1
15.0-20220423.1
15.0-20220416.1
15.0-20220409.1
15.0-20220402.1
15.0-20220326.1
15.0-20220320.1
15.0-20220317.1
15.0-20220312.1
15.0-20220311.1
14.2-20210417.1
14.2-20210410.1
14.2-20210403.1
14.2-20210327.1
14.2-20210320.1
14.2-20210313.1
14.2-20210306.1
14.2-20210227.1
14.2-20210220.1
14.2-20210213.1
14.2-20210206.1
14.2-20210130.1
14.2-20210123.1
14.2-20210117.1
14.2-20210109.1
14.2-20210102.1
14.2-20201226.1
14.2-20201219.1
14.2-20201212.1
14.2-20201206.1
14.2-20201128.1
14.2-20201121.1
14.2-20201114.1
14.2-20201107.1
14.2-20201031.1
14.2-20201024.1
14.2-20201017.1
14.2-20201010.1
14.2-20201003.1
14.2-20200926.1
14.2-20200919.1
14.2-20200912.1
14.2-20200905.1
14.2-20200829.1
14.2-20200628.1
14.2-20200620.1
14.2-20200614.1
14.2-20200606.1
14.2-20200601.1
14.2-20200523.1
14.2-20200516.1
14.2-20200510.1
14.2-20200503.1
14.2-20200424.1
14.2-20200419.1
14.2-20200411.1
14.2-20200406.1
14.2-20200404.1
14.2-20200328.1
14.2-20200321.1
14.2-20200314.1
14.2-20200307.1
14.2-20200229.1
14.2-20200223.1
14.2-20200215.1
14.2-20200208.1
14.2-20200201.1
14.2-20200126.1
14.2-20200118.1
14.2-20200112.1
14.2-20200103.1
14.2-20191231.1
14.2-20191221.1
14.2-20191215.1
14.2-20191207.1
14.2-20191201.1
14.2-20191123.1
14.2-20191116.1
14.2-20191109.1
14.2-20191102.1
14.2-20191026.1
14.2-20191019.1
14.2-20191012.1
14.2-20191005.1
14.2-20190928.1
14.2-20190921.1
14.2-20190914.1
14.2-20190907.1
14.2-20190831.1
14.2-20190824.1
14.2-20190818.1
14.2-20190810.1
14.2-20190803.1
14.2-20190727.1
14.2-20190720.1
14.2-20190713.1
14.2-20190706.2
14.2-20190706.1
14.2-20190629.1
14.2-20190622.1
14.2-20190615.1
14.2-20190608.1
14.2-20190601.1
14.2-20190525.1
14.2-20190518.1
14.2-20190511.1
14.2-20190504.1
14.2-20190427.1
14.2-20190420.1
14.2-20190413.1
14.2-20190406.1
14.2-20190330.1
14.2-20190323.1
14.2-20190316.1
14.2-20190302.1
14.2-20190223.1
14.2-20190217.1
14.2-20190209.1
14.2-20190202.1
14.2-20190126.1
14.2-20190119.1
14.2-20190112.1
14.2-20190105.1
14.2-20181229.1
14.2-20181225.1
14.2-20181222.1
14.2-20181215.1
14.2-20181209.1
14.2-20181201.1
14.2-20181124.1
14.2-20181117.1
14.2-20181110.1
14.2-20181103.1
14.2-20181027.1
14.2-20181020.1
14.2-20181013.1
14.2-20181006.1
14.2-20180929.1
14.2-20180923.1
14.2-20180922.1
14.2-20180915.1
14.2-20180908.1
14.2-20180901.1
14.2-20180825.1
14.2-20180818.1
14.2-20180811.1
14.2-20180804.1
14.2-20180728.1
14.2-20180721.1
14.2-20180717.1
14.2-20180714.1
14.2-20180707.1
14.2-20180630.1
14.2-20180623.1
14.2-20180618.1
14.2-20180614.1
14.2-20180609.1
14.2-20180602.1
14.2-20180526.1
14.2-20180520.1
14.2-20180519.1
14.2-20180512.1
14.2-20180504.1
14.2-20180427.1
14.2-20180421.1
14.2-20180414.1
14.2-20180407.1
14.2-20180401.1
14.2-20180331.1
14.2-20180324.1
14.2-20180317.1
14.2-20180310.1
14.2-20180305.1
14.2-20180303.1
14.2-20180224.1
14.2-20180217.1
14.2-20180210.1
14.2-20180203.1
14.2-20180127.1
14.2-20180120.1
14.2-20180117.1
14.2-20180113.1
14.2-20180110.1
14.2-20180106.1
14.2-20171228.1
14.2-20171223.1
14.2-20171221.1
14.2-20171216.1
14.2-20171209.1
14.2-20171201.1
14.2-20171124.1
14.2-20171120.1
14.2-20171118.1
14.2-20171111.1
14.2-20171104.1
14.2-20171101
14.2-20171028.1
14.2-20171021.1
14.2-20171014.2
14.2-20171014.1
14.2-20171010.1
14.2-20171007.1
14.2-20170930.1
14.2-20170923.1
14.2-20170917.1
14.2-20170916.1
14.2-20170909.1
14.2-20170902.1
14.2-20170826.1
14.2-20170819.1
14.2-20170813.1
14.2-20170812.1
14.2-20170805.1
14.2-20170729.1
14.2-20170726.1
14.2-20170722.1
14.2-20170715.1
14.2-20170712.1
14.2-20170708.1
14.2-20170701.1
14.2-20170624.1
14.2-20170617.1
14.2-20170615.1
14.2-20170610.1
14.2-20170606.1
14.2-20170603.1
14.2-20170527.1
14.2-20170520.1
14.2-20170513.1
14.2-20170506.1
14.2-20170429.1
14.2-20170422.1
14.2-20170415.1
14.2-20170413.1
14.2-20170408.2
14.2-20170408.1
14.2-20170401.1
14.2-20170326.1
14.2-20170325.1
14.2-20170318.1
14.2-20170311.1
14.2-20170305.1
14.2-20170304.1
14.2-20170225.1
14.2-20170221.1
14.2-20170218.1
14.2-20170211.1
14.2-20170204.1
14.2-20170128.1
14.2-20170124.1
14.2-20170121.1
14.2-20170114.1
14.2-20170110.1
14.2-20170109.1
14.2-20170107.1
14.2-20161231.1
14.2-20161224.1
14.2-20161217.2
14.2-20161217.1
14.2-20161210.1
14.2-20161204.1
14.2-20161203.1
14.2-20161126.1
14.2-20161119.1
14.2-20161115.1
14.2-20161114.1
14.2-20161112.1
14.2-20161111.1
14.2-20161105.1
14.2-20161029.1
14.2-20161022.1
14.2-20161015.1
14.2-20161008.1
14.2-20161001.2
14.2-20161001.1
14.2-20160925.1
14.2-20160924.1
14.2-20160917.1
14.2-20160914.2
14.2-20160914.1
14.2-20160911.2
14.2-20160911.1
14.2-20160903.1
14.2-20160827.1
14.2-20160820.1
14.2-20160814.1
14.2-20160813.1
14.2-20160807.1
14.2-20160805.1
14.2-20160730.1
14.2-20160724.1
14.2-20160721.1
14.2-20160720.2
14.2-20160720.1
14.2-20160717.2
14.2-20160717.1
14.2-20160709.1
14.2-20160702.2
14.2-20160702.1
14.1-20160902.1
14.1-20160629.1
14.1-20160627.2
14.1-20160627.1
14.1-20160625.1
14.1-20160623.1
14.1-20160619.2
14.1-20160619.1
14.1-20160512.1
14.1-20160419.1
14.1-20160407.1
14.1-20160403.1
14.1-20160321.1
14.1-20160227.1
14.1-20160117.1
14.1-20160113.1
14.1-20160111.1
14.1-20160109.1
14.1-20160101.1
14.1-20151225.2
14.1-20151225.1
14.1-20151219.1
14.1-20151212.1
14.1-20151205.1
14.1-20151128.1
14.1-20151121.1
14.1-20151114.1
14.1-20151107.1
14.1-20151031.1
14.1-20151024.1
14.1-20151018.1
14.1-20151010.1
14.1-20151003.1
14.1-20150926.1
14.1-20150919.1
14.1-20150912.1
14.1-20150906.1
14.1-20150905.1
14.1-20150829.2
14.1-20150829.1
14.1-20150822.1
14.1-20150815.1
14.1-20150809.1
14.1-20150801.1
14.1-20150725.1
14.1-20150716.1
14.1-20150712.1
14.1-20150708.1
14.1-20150704.1
14.1-20150628.2
14.1-20150628.1
14.1-20150620.2
14.1-20150620.1
14.1-20150614.2
14.1-20150614.1
14.1-20150607.1
14.1-20150531.1
14.1-20150524.1
14.1-20150517.1
14.1-20150510.1
14.1-20150503.1
14.1-20150426.1
14.1-20150419.1
14.1-20150412.1
14.1-20150405.1
14.1-20150329.1
14.1-20150322.1
14.1-20150314.1
14.1-20150307.1
14.1-20150228.2
14.1-20150228.1
14.1-20150221.1
14.1-20150215.1
14.1-20150208.1
14.1-20150207.1
14.1-20150131.1
14.1-20150124.1
14.1-20150118.1
14.1-20150110.1
14.1-20150103.1
14.1-20141231.1
14.1-20141228.1
14.1-20141225.1
14.1-20141220.1
14.1-20141213.1
14.1-20141206.1
14.1-20141129.2
14.1-20141129.1
14.1-20141122.1
14.1-20141115.1
14.1-20141107.1
14.1-20141101.1
14.1-20141025.1
14.1-20141018.2
14.1-20141018.1
14.1-20141011.1
14.1-20141005.1
14.1-20140927.1
14.1-20140920.1
14.1-20140913.1
14.1-20140905.2
14.1-20140905.1
14.1-20140830.2
14.1-20140830.1
14.1-20140822.1
14.1-20140815.1
14.1-20140809.1
14.1-20140803.1
14.1-20140722.1
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14.1-20140707.1
14.1-20140705.1
14.1-20140629.2
14.1-20140629.1
14.1-20140623.1
14.1-20140618.1
14.1-20140611.1
14.1-20140604.1
14.1-20140528.1
14.1-20140520.1
14.1-20140514.1
14.1-20140505.1
14.1-20140429.1
14.1-20140427.1
14.1-20140423.1
14.1-20140414.1
14.1-20140413.1
14.1-20140412.1
14.1-20140322.1
14.1-20140321.1
14.1-20140312.1
14.1-20140307.1
14.1-20140221.1
14.1-20140218.1
14.1-20140216.1
14.1-20140211.1
14.1-20140208.1
14.1-20140202.2
14.1-20140202.1
14.1-20140201.1
14.1-20140130.1
14.1-20140107.1
14.1-20131225.1
14.1-20131217.1
14.1-20131214.1
14.1-20131206.1
14.1-20131202.1
14.1-20131130.1
14.1-20131128.1
14.1-20131126.1
14.1-20130321.1
14.0-20131116.1
14.0-20131114.2
14.0-20131114.1
14.0-20131112.1
14.0-20131111.1
14.0-20131106.1
14.0-20131104.1
14.0-20131031.1
14.0-20131030.1
14.0-20131028.1
14.0-20131012.1
14.0-20130714.2
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14.0-20130707.1
14.0-20130702.1
14.0-20130629.1
14.0-20130623.1
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14.0-20130609.1
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13.1-20100614.2
13.1-20100614.1
13.1-20100613
13.1-20100612
13.1-20100609
13.1-20100606
13.1-20100605
13.1-20100527.2
13.1-20100527.1
13.1-20100517
13.1-20100428
13.1-20100422
13.1-20100410
13.1-20100407
13.1-20100324
13.1-20100322
13.1-20100321.2
13.1-20100321
13.1-20100217.1
B. Watson
060c98ed32
academic/armadillo: Fix download URL, doc dir.
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| README | cec4da4b82 academic/armadillo: Fix README. | 4 years ago |
| armadillo.SlackBuild | 060c98ed32 academic/armadillo: Fix download URL, doc dir. | 2 years ago |
| armadillo.info | 060c98ed32 academic/armadillo: Fix download URL, doc dir. | 2 years ago |
| slack-desc | 65bb6b4ef6 academic/armadillo: Fix slack-desc. | 8 years ago |
README
Armadillo is a high quality C++ linear algebra library useful
for development of algorithms in machine learning, pattern recognition,
signal processing, bioinformatics, statistics, etc.
Armadillo makes extensive use of template meta-programming, recursive
templates and template based function overloading. As such, C++
compilers which do not fully implement the C++ standard may not work
correctly.
The functionality of Armadillo is partly dependent on other libraries:
LAPACK, BLAS and ARPACK. The LAPACK and BLAS libraries are used for
dense matrices, while the ARPACK library is used for sparse matrices.
Armadillo can work without these libraries, but its functionality
will be reduced. In particular, basic functionality will be available
(eg. matrix addition and multiplication), but things like eigen
decomposition or matrix inversion will not be. Matrix multiplication
(mainly for big matrices) may not be as fast.
As Armadillo is a template library, we recommended that optimisation
is enabled during compilation of programs that use Armadillo.
For example, for GCC and Clang compilers use -O2 or -O3
for development of algorithms in machine learning, pattern recognition,
signal processing, bioinformatics, statistics, etc.
Armadillo makes extensive use of template meta-programming, recursive
templates and template based function overloading. As such, C++
compilers which do not fully implement the C++ standard may not work
correctly.
The functionality of Armadillo is partly dependent on other libraries:
LAPACK, BLAS and ARPACK. The LAPACK and BLAS libraries are used for
dense matrices, while the ARPACK library is used for sparse matrices.
Armadillo can work without these libraries, but its functionality
will be reduced. In particular, basic functionality will be available
(eg. matrix addition and multiplication), but things like eigen
decomposition or matrix inversion will not be. Matrix multiplication
(mainly for big matrices) may not be as fast.
As Armadillo is a template library, we recommended that optimisation
is enabled during compilation of programs that use Armadillo.
For example, for GCC and Clang compilers use -O2 or -O3