[ADMB Users] my ADMB program is very sensitive to initial guess values in parameters, but different results look okay???

Saang-Yoon shyunuw at gmail.com
Fri Jun 15 16:23:01 PDT 2012

With small changes in initial guess values of parameters, different results 
are generated. Interestingly different results are satisfactory in terms of 
Hessian matrix calculation, and stability (i.e., maximum gradient = almost 
zero).  Although a difference between two results are small, the 
episode indicates a failure to regenerate the same results.  Given the same 
data, the same results must be generated.   Also it is not good that the 
results are *very* sensitive to initial guess values.  Appreciated is any 
suggestion/advice about how to avoid the problem?
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