argauss.gms
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* NLP written by GAMS Convert at 10/06/06 11:14:29
*
* Equation counts
* Total E G L N X C
* 16 16 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 4 4 0 0 0 0 0 0
* FX 0 0 0 0 0 0 0 0
*
* Nonzero counts
* Total const NL DLL
* 46 1 45 0
*
* Solve m using NLP minimizing objvar;
Variables x1,x2,x3,objvar;
Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16;
e1.. exp(-0.5*sqr(3.5 - x3)*x2)*x1 =E= 0.0009;
e2.. exp(-0.5*sqr(3 - x3)*x2)*x1 =E= 0.0044;
e3.. exp(-0.5*sqr(2.5 - x3)*x2)*x1 =E= 0.0175;
e4.. exp(-0.5*sqr(2 - x3)*x2)*x1 =E= 0.054;
e5.. exp(-0.5*sqr(1.5 - x3)*x2)*x1 =E= 0.1295;
e6.. exp(-0.5*sqr(1 - x3)*x2)*x1 =E= 0.242;
e7.. exp(-0.5*sqr(0.5 - x3)*x2)*x1 =E= 0.3521;
e8.. exp(-0.5*sqr(-x3)*x2)*x1 =E= 0.3989;
e9.. exp(-0.5*sqr((-0.5) - x3)*x2)*x1 =E= 0.3521;
e10.. exp(-0.5*sqr((-1) - x3)*x2)*x1 =E= 0.242;
e11.. exp(-0.5*sqr((-1.5) - x3)*x2)*x1 =E= 0.1295;
e12.. exp(-0.5*sqr((-2) - x3)*x2)*x1 =E= 0.054;
e13.. exp(-0.5*sqr((-2.5) - x3)*x2)*x1 =E= 0.0175;
e14.. exp(-0.5*sqr((-3) - x3)*x2)*x1 =E= 0.0044;
e15.. exp(-0.5*sqr((-3.5) - x3)*x2)*x1 =E= 0.0009;
e16.. objvar =E= 0;
* set non default bounds
* set non default levels
x1.l = 0.4;
x2.l = 1;
* set non default marginals
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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