lsnnodoc.gms
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* NLP written by GAMS Convert at 10/06/06 11:34:06
*
* Equation counts
* Total E G L N X C
* 5 5 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 6 6 0 0 0 0 0 0
* FX 0 0 0 0 0 0 0 0
*
* Nonzero counts
* Total const NL DLL
* 16 11 5 0
*
* Solve m using NLP minimizing objvar;
Variables x1,x2,x3,x4,x5,objvar;
Positive Variables x3;
Equations e1,e2,e3,e4,e5;
e1.. x1 + x2 =E= 10;
e2.. - x1 - x3 + x4 =E= 0;
e3.. - x2 + x3 + x5 =E= 0;
e4.. - x4 - x5 =E= -10;
e5.. - (exp(x1 + x3)*x2 + sqr(x3)*sqr(x4) + sqr(x3 - x5)) + objvar =E= 0;
* set non default bounds
x1.lo = 2; x1.up = 4;
x2.lo = 6; x2.up = 8;
x3.up = 2;
x4.lo = -10000; x4.up = 6;
x5.lo = -10000; x5.up = 8;
* set non default levels
x1.l = 4;
x2.l = 8;
x3.l = 2;
x4.l = 6;
x5.l = 8;
* 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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