Wood.gms
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* NLP written by GAMS Convert at 11/11/08 09:34:09
*
* 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
* 5 5 0 0 0 0 0 0
* FX 0 0 0 0 0 0 0 0
*
* Nonzero counts
* Total const NL DLL
* 5 1 4 0
*
* Solve m using NLP minimizing objvar;
*
Variables x1,x2,x3,x4,objvar;
Equations e1;
e1.. - (100*sqr(x2 - x1*x1) + (1 - x1)*(1 - x1) + 90*sqr(x4 - x3*x3) + (1 - x3
)*(1 - x3) + 10.1*(sqr((-1) + x2) + sqr((-1) + x4)) + (-19.8 + 19.8*x2)*(-
1 + x4)) + objvar =E= 0;
* set non default bounds
x1.lo = -10; x1.up = 10;
x2.lo = -10; x2.up = 10;
x3.lo = -10; x3.up = 10;
x4.lo = -10; x4.up = 10;
* set non default levels
* set non default marginals
$if not set startsol $goto cont
$goto %startsol%
* Only local minimum
$label sol1
x1.l = 1;
x2.l = 1;
x3.l = 1;
x4.l = 1;
objvar.l = 0;
$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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