st_glmp_kk92.gms:
References:
- Tawarmalani, M, and Sahinidis, N, Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications. Kluwer, 2002.
- Konno, H, and Kuno, T, Linear multiplicative programming. Mathematical Programming 56 (1992), 51-64.
Point:
* NLP written by GAMS Convert at 09/01/02 13:49:33
*
* Equation counts
* Total E G L N X C
* 9 3 0 6 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
* 21 19 2 0
*
* Solve m using NLP minimizing objvar;
Variables x1,x2,objvar,x4,x5;
Equations e1,e2,e3,e4,e5,e6,e7,e8,e9;
e1.. - 4*x1 + x2 =L= 12;
e2.. - 4*x1 - 2*x2 =L= 12;
e3.. x1 - 2*x2 =L= 6;
e4.. x1 - x2 =L= 3;
e5.. x1 + x2 =L= 2;
e6.. 2*x1 + x2 =L= 2;
e7.. - x4*x5 + objvar =E= 0;
e8.. x1 + x2 - x4 =E= 0;
e9.. x1 - x2 - x5 =E= 0;
* set non default bounds
x1.lo = -3; x1.up = 1;
x2.lo = -3; x2.up = 4;
* set non default levels
* 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;