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Summary: Boost randon number generator
Product: BFL
Version: trunk
Platform: All
OS/Version: All
Status: NEW
Severity: normal
Priority: P2
Component: wrappers
AssignedTo: bfl [..] ...
ReportedBy: tinne [dot] delaet [..] ...
CC: bfl [..] ...
Estimated Hours: 0.0
Apparently, calling sampleFrom on a Gaussian always results in the same set of
samples when using Boost as a random number generator. It appears like boost
has a fixed list of random samples, resulting in the same samples when
executing the program multiple times.
This problem does not occur when using lti as a randon number generator.
Is this an intrinsic problem with Boost (or are we not using the rng properly)?
I found the following note on
http://www.boost.org/libs/random/random-generators.html
"Note: These random number generators are not intended for use in applications
where non-deterministic random numbers are required. See nondet_random.html for
a choice of (hopefully) non-deterministic random number generators."
So maybe we should use the proposed class when we want non-deterministic randon
numbers.
Tinne
[Bug 491] Boost randon number generator
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--- Comment #2 from Klaas Gadeyne <klaas [dot] gadeyne [..] ...> 2008-02-09 20:13:47 ---
Created an attachment (id=233)
--> (https://www.fmtc.be/bugzilla/orocos/attachment.cgi?id=233)
quick-n-dirty fix for the test
This patch show that this can be fixed using a seed.
However, this is only a quick and dirty fix, so I'm not in favour of having it
applied.
The proper way to fix this is to make objects of the RNGs
[Bug 491] Boost randon number generator
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--- Comment #1 from Tinne De Laet <tinne [dot] delaet [..] ...> 2008-01-18 17:06:35 ---
This bug causes the new pdf_test (see BUG #441, Attachment #214) to fail
deterministically.
Apparently the 496'th sample is located outside the 4 sigma region.
Tinne