Tree:
331a473f1a
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
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15.0-20230107.1
15.0-20221231.1
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15.0-20221217.1
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14.2-20210417.1
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14.2-20200905.1
14.2-20200829.1
14.2-20200628.1
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14.2-20200614.1
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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
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14.2-20200314.1
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14.2-20200118.1
14.2-20200112.1
14.2-20200103.1
14.2-20191231.1
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14.2-20191215.1
14.2-20191207.1
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14.2-20190706.1
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14.2-20190601.1
14.2-20190525.1
14.2-20190518.1
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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
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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
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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
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14.2-20180714.1
14.2-20180707.1
14.2-20180630.1
14.2-20180623.1
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14.2-20180614.1
14.2-20180609.1
14.2-20180602.1
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14.2-20180512.1
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14.2-20180106.1
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14.2-20170109.1
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14.2-20161224.1
14.2-20161217.2
14.2-20161217.1
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14.2-20161204.1
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| README | ce47b49a3c academic/dwave-neal: Added (a simulated annealing sampler) | 2 years ago |
| dwave-neal.SlackBuild | ce47b49a3c academic/dwave-neal: Added (a simulated annealing sampler) | 2 years ago |
| dwave-neal.info | ce47b49a3c academic/dwave-neal: Added (a simulated annealing sampler) | 2 years ago |
| slack-desc | ce47b49a3c academic/dwave-neal: Added (a simulated annealing sampler) | 2 years ago |
README
An implementation of a simulated annealing sampler.
A simulated annealing sampler can be used for approximate Boltzmann
sampling or heuristic optimization. This implementation approaches
the equilibrium distribution by performing updates at a sequence of
increasing beta values, beta_schedule, terminating at the target
beta. Each spin is updated once in a fixed order per point in the
beta_schedule according to a Metropolis- Hastings update. When beta
is large the target distribution concentrates, at equilibrium,
over ground states of the model. Samples are guaranteed to match
the equilibrium for long 'smooth' beta schedules.
A simulated annealing sampler can be used for approximate Boltzmann
sampling or heuristic optimization. This implementation approaches
the equilibrium distribution by performing updates at a sequence of
increasing beta values, beta_schedule, terminating at the target
beta. Each spin is updated once in a fixed order per point in the
beta_schedule according to a Metropolis- Hastings update. When beta
is large the target distribution concentrates, at equilibrium,
over ground states of the model. Samples are guaranteed to match
the equilibrium for long 'smooth' beta schedules.