MultiGauss.gms
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* NLP written by GAMS Convert at 11/11/08 09:49:21
*
* Equation counts
* Total E G L N X C
* 1 1 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 3 3 0 0 0 0 0 0
* FX 2 2 0 0 0 0 0 0
*
* Nonzero counts
* Total const NL DLL
* 3 1 2 0
*
* Solve m using NLP minimizing objvar;
*
Variables x1,x2,objvar;
Equations e1;
e1.. (-0.5*exp(-100*(sqr(x1) + sqr(x2)))) - 1.2*exp(-4*(sqr((-1) + x1) + sqr(x2
))) - exp(-4*(sqr(x1) + sqr(0.5 + x2))) - exp(-4*(sqr(0.5 + x1) + sqr(x2))
) - 1.2*exp(-4*(sqr(x1) + sqr((-1) + x2))) - objvar =E= 0;
* set non default bounds
x1.lo = -2;
x1.up = 2;
x2.lo = -2;
x2.up = 2;
* set non default levels
* set non default marginals
$if not set startsol $goto cont
$goto %startsol%
$label sol1
x1.l = -0.01356 ;
x2.l = -0.01356 ;
objvar.l = -1.29695 ;
$goto cont
$label cont
Model m / all /;
m.limrow=0; m.limcol=0;
$if NOT '%gams.u1%' == '' $include '%gams.u1%'
Solve m using NLP minimizing objvar;
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