[ADMB Users] ADMB error messages
Jim Ianelli
Jim.Ianelli at noaa.gov
Wed Apr 28 16:17:07 PDT 2010
I looked for this in the source code and found:
fmmtr1.cpp: if (ad_printf) (*ad_printf)(" ic > imax in fminim is
answer attained ?\n" );
newfmin.cpp: if (ad_printf) (*ad_printf)(" ic > imax in fminim
is answer attained ?\n" );
then I looked at imax and it occurs in many places (but difficult to tell
where it's set for the function minimize and I was too lazy to figure that
out).
I suspect that you may have exceeded the number of function evaluations or
that imax is somehow reset within your model (or application to a library).
I'm sure you have, but maybe check if function evaluations is being set as
intended, e.g.,
maximum_function_evaluations 50, 100, 10000
Cheers,
Jim
| -----Original Message-----
| From: users-bounces at admb-project.org [mailto:users-bounces at admb-
| project.org] On Behalf Of k.curti
| Sent: Wednesday, April 28, 2010 12:04 PM
| To: users at admb-project.org
| Subject: [ADMB Users] ADMB error messages
|
| Hi-
|
| I have a general question regarding admb error messages (I'm using the
| most recent version of ADMB and have tried both the Borland and GNU
| compilers). In several of my model runs, I obtain the following error
| message in the captured tool output, but my other model diagnostics
| appear acceptable.
|
| "ic > imax in fminim is answer attained ?" ...followed by a set of
| derivative/gradient information and then...
| "Function minimizer not making progress ... is minimum attained?
| Minimprove criterion = 0.0000e+00"
|
| Sometimes I receive this message at the end of an intermediate
| parameter estimation phase, and sometimes I receive it at the end of
| the final estimation phase. In one of my recent runs I received the
| above error in the last two estimation phases, but the maximum
| gradient component was 0.0020, the Hessian matrix was positive
| definite, and the maximum parameter correlation was -0.7130. Is this
| error message a show-stopper when it appears at the end of the last
| estimation phase, or can it be ignored since the other diagnostics
| seem acceptable? In addition, can anyone possibly recommend
| additional diagnostics that can be used to further deduce where the
| problem is in my model?
|
| Many thanks
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