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Hi MATLABers, 
"Cory" wrote in message <jv4rpj$adm$1@newscl01ah.mathworks.com>... 
> (1) seems the best approach to me. A onedimensional problem should converge very fast. I don't really understand the motivation you've given for (2). Why would the constraintsolving fail if, as you say, "For a given theta, the constraints uniquely determine the rest of the parameters"? And if it can fail, why would (2) be any more robust to it? 
"Cory" wrote in message <jv63b2$qcp$1@newscl01ah.mathworks.com>... 
> No, that wasn't my opinion. If theta doesn't always determine the other parameters, then (1) won't work. If it does always determine them then the lower level solver should work 100% of the time. 
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