MPITB extensions found

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BFGSMIN final results

Used numeric gradient

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STRONG CONVERGENCE
Function conv 1  Param conv 1  Gradient conv 1
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Objective function value -0.0130329
Stepsize 0.102833
43 iterations
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 param    gradient  change
 15.9999  -0.0000   0.0000
-28.8119   0.0000   0.0000
The result with poor start values
ans =

   16.000  -28.812


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SAMIN final results
NORMAL CONVERGENCE

Func. tol. 1.000000e-10	Param. tol. 1.000000e-03
Obj. fn. value -0.100023

	   parameter	    search width
            0.037419            0.000018
           -0.000000            0.000051
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Now try a battery of random start values and 
a short BFGS on each, then iterate to convergence
The result using 20 randoms start values
ans =

   3.7417e-02   2.7628e-07

The true maximizer is near (0.037,0)