Log of /trunk/math/unuran/inc/TUnuran.h
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22885 -
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Modified
Fri Mar 28 13:57:25 2008 UTC (6 years, 9 months ago) by
rdm
File length: 8902 byte(s)
Diff to
previous 21604
move the following directories under the new "math" meta directory:
mathcore
mathmore
fftw
foam
fumili
genvector
matrix
minuit
minuit2
mlp
physics
smatrix
splot
unuran
quadp
Revision
21604 -
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Modified
Wed Jan 9 09:19:57 2008 UTC (7 years ago) by
moneta
Original Path:
trunk/unuran/inc/TUnuran.h
File length: 8902 byte(s)
Diff to
previous 21504
- add a new version of unuran (1.1.1) which fixes some warnings on gcc 4 and add a new method (mvtdr)
- WARNING: to re-compile root a make distclean-unuran is required
- fix a problem with re-initialization of discrete pre-defined distributions (poisosn and binomial) when
changing their parameters
- improve and fix a problem with the test for discrete distributions
Revision
18185 -
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Modified
Thu Mar 8 09:31:54 2007 UTC (7 years, 10 months ago) by
moneta
Original Path:
trunk/unuran/inc/TUnuran.h
File length: 6838 byte(s)
Diff to
previous 16773
- add support for discrete distribution and empirical distribution. Empirical distributions are currently a set of unbinned data and generation proceed using a gaussian kernel-smoothing method for finding the parent dist.
- re-design distribution classes and clean up TUnuran class
- improve existing tests and add new tests for discrete and empirical distributions
Revision
16773 -
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Added
Wed Nov 15 17:40:36 2006 UTC (8 years, 2 months ago) by
brun
Original Path:
trunk/unuran/inc/TUnuran.h
File length: 2767 byte(s)
From Lorenzo:
Addition of a new directory, unuran, to interface in ROOT a new package, UNU.RAN
(Universal Non Uniform Random number generator for generating non uniform pseudo-random numbers.
UNU.RAN is an ANSI C library licensed under GPL.
It contains universal (also called automatic or black-box) algorithms
that can generate random numbers from large classes of continuous or
discrete distributions, and also from practically all standard
distributions. The library and an extensive online documentation are available at:
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http://statistik.wu-wien.ac.at/unuran/
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