jensmp.gms
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* NLP written by GAMS Convert at 10/06/06 11:33:49
*
* 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 0 0 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.. - (sqr(4 - (exp(x1) + exp(x2))) + sqr(6 - (exp(2*x1) + exp(2*x2))) + sqr(
8 - (exp(3*x1) + exp(3*x2))) + sqr(10 - (exp(4*x1) + exp(4*x2))) + sqr(12
- (exp(5*x1) + exp(5*x2))) + sqr(14 - (exp(6*x1) + exp(6*x2))) + sqr(16
- (exp(7*x1) + exp(7*x2))) + sqr(18 - (exp(8*x1) + exp(8*x2))) + sqr(20
- (exp(9*x1) + exp(9*x2))) + sqr(22 - (exp(10*x1) + exp(10*x2))))
+ objvar =E= 0;
* set non default bounds
* set non default levels
x1.l = 0.3;
x2.l = 0.4;
* 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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