* NLP written by GAMS Convert at 07/02/05 18:32:27 * * Equation counts * Total E G L N X C * 11 11 0 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 16 16 0 0 0 0 0 0 * FX 0 0 0 0 0 0 0 0 * * Nonzero counts * Total const NL DLL * 71 11 60 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,objvar; Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11; e1.. - (1.173295*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) - 0.564255*x1 + 0.392417*x2 - 0.404979*x3 + 0.927589*x4 - 0.0735084*x5) + x6 =E= 0.0426149; e2.. - (1.42024*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) + 0.535493*x1 + 0.658799*x2 - 0.636666*x3 - 0.681091*x4 - 0.869487*x5) + x7 =E= 0.0352053; e3.. - (0.56444*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) + 0.586387*x1 + 0.289826*x2 + 0.854402*x3 + 0.789312*x4 + 0.949721*x5) + x8 =E= 0.0878058; e4.. - (1.51143*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) + 0.608734*x1 + 0.984915*x2 + 0.375699*x3 + 0.239547*x4 + 0.463136*x5) + x9 =E= 0.0330812; e5.. - (0.860695*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) + 0.774227*x1 + 0.325421*x2 - 0.151719*x3 + 0.448051*x4 + 0.149926*x5) + x10 =E= 0.0580924; e6.. - (0.0769585*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) - 0.435033*x1 - 0.688583*x2 + 0.222278*x3 - 0.524653*x4 + 0.413248*x5) + x11 =E= 0.649704; e7.. - (0.1452885*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) + 0.759468*x1 - 0.627795*x2 + 0.0403142* x3 + 0.724666*x4 - 0.0182537*x5) + x12 =E= 0.344144; e8.. - (-0.079689*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) - 0.152448*x1 - 0.546437*x2 + 0.484134*x3 + 0.353951*x4 + 0.887866*x5) + x13 =E= -0.627443; e9.. - (27.3455*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141 *x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288*x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*(0.220429*x1 + 0.0485461*x2 - 0.38067* x3 - 0.131586*x4 + 0.534706*x5)) - 0.821772*x1 - 0.53412*x2 - 0.798498*x3 - 0.658572*x4 + 0.662362*x5) + x14 =E= 0.001828; e10.. - (0.819831*x1 - 0.2224365*(x1*(0.354033*x1 - 0.0230349*x2 - 0.211938*x3 - 0.0554288*x4 + 0.220429*x5) + x2*(0.29135*x2 - 0.0230349*x1 - 0.00180333*x3 - 0.111141*x4 + 0.0485461*x5) + x3*(-0.211938*x1 - 0.00180333*x2 + 0.815808*x3 - 0.133538*x4 - 0.38067*x5) + x4*(-0.0554288* x1 - 0.111141*x2 - 0.133538*x3 + 0.389198*x4 - 0.131586*x5) + x5*( 0.220429*x1 + 0.0485461*x2 - 0.38067*x3 - 0.131586*x4 + 0.534706*x5)) - 0.910632*x2 - 0.480344*x3 - 0.871758*x4 - 0.978666*x5) + x15 =E= -0.224783; e11.. - (sqr(x6) + sqr(x7) + sqr(x8) + sqr(x9) + sqr(x10) + sqr(x11) + sqr(x12 ) + sqr(x13) + sqr(x14) + sqr(x15)) + objvar =E= 0; * set non default bounds * set non default levels x1.l = 0.1; x2.l = 0.1; x3.l = 0.1; x4.l = 0.1; x5.l = 0.1; * 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;