Hi,
For model m0, this shouldn't be a problem. This model has no
parameters, hence the dimension of A is 0x0 and for b is 0 (these are
the constraint matrices such that A.x <= b, where x is the parameter
vector). Therefore it doesn't mater if minimisation for the
individual model-free model fails, because there is nothing to
minimise. Code could be added to catch this model and skip it, but
I'd prefer that this behaviour stays. Adding new code for model m0
could introduce bugs, whereas the current behaviour means nothing
happens for this model. So this message will appear for the normal
optimisation of m0 and the Monte Carlo simulations, but is harmless.
Does this message appear for other model-free models?
Cheers,
Edward
On Tue, Apr 8, 2008 at 4:05 AM, Sébastien Morin
<NO-REPLY.INVALID-ADDRESS@xxxxxxx> wrote:
Follow-up Comment #2, bug #11454 (project relax):
Hi,
I had a look at the log files for other runs and found out that the same
error message appeared for minimization of model "m0" for every diffusion
tensor. For example, here's what's found for the prolate diffusion tensor
right after initialization (folder "init") :
============================
Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~
The constraints have been incorrectly supplied.
relax> results.write(run='m0', file='results', dir='prolate/round_1/m0',
force=1, format='columnar', compress_type=1)
Opening the file 'prolate/round_1/m0/results.bz2' for writing.
============================
The error message appears for every round when at model "m0".
For runs without model "m0", the error message never arises...
Séb
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Re: [bug #11454] Constraint incorrectly supplied when using the "full_analysis.py" script