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osborneb.gms


* NLP written by GAMS Convert at 10/06/06 11:47:09 * * 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 * 12 12 0 0 0 0 0 0 * FX 0 0 0 0 0 0 0 0 * * Nonzero counts * Total const NL DLL * 12 1 11 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,objvar; Equations e1; e1.. - (sqr(1.366 + (-exp(-sqr(-x9)*x6)*x2) - exp(-sqr(-x10)*x7)*x3 - exp(- sqr(-x11)*x8)*x4 - x1) + sqr(1.191 + (-exp(-0.1*x5)*x1) - exp(-sqr(0.1 - x9)*x6)*x2 - exp(-sqr(0.1 - x10)*x7)*x3 - exp(-sqr(0.1 - x11)*x8)*x4) + sqr(1.112 + (-exp(-0.2*x5)*x1) - exp(-sqr(0.2 - x9)*x6)*x2 - exp(-sqr(0.2 - x10)*x7)*x3 - exp(-sqr(0.2 - x11)*x8)*x4) + sqr(1.013 + (-exp(-0.3*x5)* x1) - exp(-sqr(0.3 - x9)*x6)*x2 - exp(-sqr(0.3 - x10)*x7)*x3 - exp(-sqr( 0.3 - x11)*x8)*x4) + sqr(0.991 + (-exp(-0.4*x5)*x1) - exp(-sqr(0.4 - x9)* x6)*x2 - exp(-sqr(0.4 - x10)*x7)*x3 - exp(-sqr(0.4 - x11)*x8)*x4) + sqr( 0.885 + (-exp(-0.5*x5)*x1) - exp(-sqr(0.5 - x9)*x6)*x2 - exp(-sqr(0.5 - x10)*x7)*x3 - exp(-sqr(0.5 - x11)*x8)*x4) + sqr(0.831 + (-exp(-0.6*x5)*x1) - exp(-sqr(0.6 - x9)*x6)*x2 - exp(-sqr(0.6 - x10)*x7)*x3 - exp(-sqr(0.6 - x11)*x8)*x4) + sqr(0.847 + (-exp(-0.7*x5)*x1) - exp(-sqr(0.7 - x9)*x6)* x2 - exp(-sqr(0.7 - x10)*x7)*x3 - exp(-sqr(0.7 - x11)*x8)*x4) + sqr(0.786 + (-exp(-0.8*x5)*x1) - exp(-sqr(0.8 - x9)*x6)*x2 - exp(-sqr(0.8 - x10)*x7 )*x3 - exp(-sqr(0.8 - x11)*x8)*x4) + sqr(0.725 + (-exp(-0.9*x5)*x1) - exp( -sqr(0.9 - x9)*x6)*x2 - exp(-sqr(0.9 - x10)*x7)*x3 - exp(-sqr(0.9 - x11)* x8)*x4) + sqr(0.746 + (-exp(-x5)*x1) - exp(-sqr(1 - x9)*x6)*x2 - exp(-sqr( 1 - x10)*x7)*x3 - exp(-sqr(1 - x11)*x8)*x4) + sqr(0.679 + (-exp(-1.1*x5)* x1) - exp(-sqr(1.1 - x9)*x6)*x2 - exp(-sqr(1.1 - x10)*x7)*x3 - exp(-sqr( 1.1 - x11)*x8)*x4) + sqr(0.608 + (-exp(-1.2*x5)*x1) - exp(-sqr(1.2 - x9)* x6)*x2 - exp(-sqr(1.2 - x10)*x7)*x3 - exp(-sqr(1.2 - x11)*x8)*x4) + sqr( 0.655 + (-exp(-1.3*x5)*x1) - exp(-sqr(1.3 - x9)*x6)*x2 - exp(-sqr(1.3 - x10)*x7)*x3 - exp(-sqr(1.3 - x11)*x8)*x4) + sqr(0.616 + (-exp(-1.4*x5)*x1) - exp(-sqr(1.4 - x9)*x6)*x2 - exp(-sqr(1.4 - x10)*x7)*x3 - exp(-sqr(1.4 - x11)*x8)*x4) + sqr(0.606 + (-exp(-1.5*x5)*x1) - exp(-sqr(1.5 - x9)*x6)* x2 - exp(-sqr(1.5 - x10)*x7)*x3 - exp(-sqr(1.5 - x11)*x8)*x4) + sqr(0.602 + (-exp(-1.6*x5)*x1) - exp(-sqr(1.6 - x9)*x6)*x2 - exp(-sqr(1.6 - x10)*x7 )*x3 - exp(-sqr(1.6 - x11)*x8)*x4) + sqr(0.626 + (-exp(-1.7*x5)*x1) - exp( -sqr(1.7 - x9)*x6)*x2 - exp(-sqr(1.7 - x10)*x7)*x3 - exp(-sqr(1.7 - x11)* x8)*x4) + sqr(0.651 + (-exp(-1.8*x5)*x1) - exp(-sqr(1.8 - x9)*x6)*x2 - exp(-sqr(1.8 - x10)*x7)*x3 - exp(-sqr(1.8 - x11)*x8)*x4) + sqr(0.724 + (- exp(-1.9*x5)*x1) - exp(-sqr(1.9 - x9)*x6)*x2 - exp(-sqr(1.9 - x10)*x7)*x3 - exp(-sqr(1.9 - x11)*x8)*x4) + sqr(0.649 + (-exp(-2*x5)*x1) - exp(-sqr(2 - x9)*x6)*x2 - exp(-sqr(2 - x10)*x7)*x3 - exp(-sqr(2 - x11)*x8)*x4) + sqr(0.649 + (-exp(-2.1*x5)*x1) - exp(-sqr(2.1 - x9)*x6)*x2 - exp(-sqr(2.1 - x10)*x7)*x3 - exp(-sqr(2.1 - x11)*x8)*x4) + sqr(0.694 + (-exp(-2.2*x5)* x1) - exp(-sqr(2.2 - x9)*x6)*x2 - exp(-sqr(2.2 - x10)*x7)*x3 - exp(-sqr( 2.2 - x11)*x8)*x4) + sqr(0.644 + (-exp(-2.3*x5)*x1) - exp(-sqr(2.3 - x9)* x6)*x2 - exp(-sqr(2.3 - x10)*x7)*x3 - exp(-sqr(2.3 - x11)*x8)*x4) + sqr( 0.624 + (-exp(-2.4*x5)*x1) - exp(-sqr(2.4 - x9)*x6)*x2 - exp(-sqr(2.4 - x10)*x7)*x3 - exp(-sqr(2.4 - x11)*x8)*x4) + sqr(0.661 + (-exp(-2.5*x5)*x1) - exp(-sqr(2.5 - x9)*x6)*x2 - exp(-sqr(2.5 - x10)*x7)*x3 - exp(-sqr(2.5 - x11)*x8)*x4) + sqr(0.612 + (-exp(-2.6*x5)*x1) - exp(-sqr(2.6 - x9)*x6)* x2 - exp(-sqr(2.6 - x10)*x7)*x3 - exp(-sqr(2.6 - x11)*x8)*x4) + sqr(0.558 + (-exp(-2.7*x5)*x1) - exp(-sqr(2.7 - x9)*x6)*x2 - exp(-sqr(2.7 - x10)*x7 )*x3 - exp(-sqr(2.7 - x11)*x8)*x4) + sqr(0.533 + (-exp(-2.8*x5)*x1) - exp( -sqr(2.8 - x9)*x6)*x2 - exp(-sqr(2.8 - x10)*x7)*x3 - exp(-sqr(2.8 - x11)* x8)*x4) + sqr(0.495 + (-exp(-2.9*x5)*x1) - exp(-sqr(2.9 - x9)*x6)*x2 - exp(-sqr(2.9 - x10)*x7)*x3 - exp(-sqr(2.9 - x11)*x8)*x4) + sqr(0.5 + (- exp(-3*x5)*x1) - exp(-sqr(3 - x9)*x6)*x2 - exp(-sqr(3 - x10)*x7)*x3 - exp( -sqr(3 - x11)*x8)*x4) + sqr(0.423 + (-exp(-3.1*x5)*x1) - exp(-sqr(3.1 - x9 )*x6)*x2 - exp(-sqr(3.1 - x10)*x7)*x3 - exp(-sqr(3.1 - x11)*x8)*x4) + sqr( 0.395 + (-exp(-3.2*x5)*x1) - exp(-sqr(3.2 - x9)*x6)*x2 - exp(-sqr(3.2 - x10)*x7)*x3 - exp(-sqr(3.2 - x11)*x8)*x4) + sqr(0.375 + (-exp(-3.3*x5)*x1) - exp(-sqr(3.3 - x9)*x6)*x2 - exp(-sqr(3.3 - x10)*x7)*x3 - exp(-sqr(3.3 - x11)*x8)*x4) + sqr(0.372 + (-exp(-3.4*x5)*x1) - exp(-sqr(3.4 - x9)*x6)* x2 - exp(-sqr(3.4 - x10)*x7)*x3 - exp(-sqr(3.4 - x11)*x8)*x4) + sqr(0.391 + (-exp(-3.5*x5)*x1) - exp(-sqr(3.5 - x9)*x6)*x2 - exp(-sqr(3.5 - x10)*x7 )*x3 - exp(-sqr(3.5 - x11)*x8)*x4) + sqr(0.396 + (-exp(-3.6*x5)*x1) - exp( -sqr(3.6 - x9)*x6)*x2 - exp(-sqr(3.6 - x10)*x7)*x3 - exp(-sqr(3.6 - x11)* x8)*x4) + sqr(0.405 + (-exp(-3.7*x5)*x1) - exp(-sqr(3.7 - x9)*x6)*x2 - exp(-sqr(3.7 - x10)*x7)*x3 - exp(-sqr(3.7 - x11)*x8)*x4) + sqr(0.428 + (- exp(-3.8*x5)*x1) - exp(-sqr(3.8 - x9)*x6)*x2 - exp(-sqr(3.8 - x10)*x7)*x3 - exp(-sqr(3.8 - x11)*x8)*x4) + sqr(0.429 + (-exp(-3.9*x5)*x1) - exp(- sqr(3.9 - x9)*x6)*x2 - exp(-sqr(3.9 - x10)*x7)*x3 - exp(-sqr(3.9 - x11)*x8 )*x4) + sqr(0.523 + (-exp(-4*x5)*x1) - exp(-sqr(4 - x9)*x6)*x2 - exp(-sqr( 4 - x10)*x7)*x3 - exp(-sqr(4 - x11)*x8)*x4) + sqr(0.562 + (-exp(-4.1*x5)* x1) - exp(-sqr(4.1 - x9)*x6)*x2 - exp(-sqr(4.1 - x10)*x7)*x3 - exp(-sqr( 4.1 - x11)*x8)*x4) + sqr(0.607 + (-exp(-4.2*x5)*x1) - exp(-sqr(4.2 - x9)* x6)*x2 - exp(-sqr(4.2 - x10)*x7)*x3 - exp(-sqr(4.2 - x11)*x8)*x4) + sqr( 0.653 + (-exp(-4.3*x5)*x1) - exp(-sqr(4.3 - x9)*x6)*x2 - exp(-sqr(4.3 - x10)*x7)*x3 - exp(-sqr(4.3 - x11)*x8)*x4) + sqr(0.672 + (-exp(-4.4*x5)*x1) - exp(-sqr(4.4 - x9)*x6)*x2 - exp(-sqr(4.4 - x10)*x7)*x3 - exp(-sqr(4.4 - x11)*x8)*x4) + sqr(0.708 + (-exp(-4.5*x5)*x1) - exp(-sqr(4.5 - x9)*x6)* x2 - exp(-sqr(4.5 - x10)*x7)*x3 - exp(-sqr(4.5 - x11)*x8)*x4) + sqr(0.633 + (-exp(-4.6*x5)*x1) - exp(-sqr(4.6 - x9)*x6)*x2 - exp(-sqr(4.6 - x10)*x7 )*x3 - exp(-sqr(4.6 - x11)*x8)*x4) + sqr(0.668 + (-exp(-4.7*x5)*x1) - exp( -sqr(4.7 - x9)*x6)*x2 - exp(-sqr(4.7 - x10)*x7)*x3 - exp(-sqr(4.7 - x11)* x8)*x4) + sqr(0.645 + (-exp(-4.8*x5)*x1) - exp(-sqr(4.8 - x9)*x6)*x2 - exp(-sqr(4.8 - x10)*x7)*x3 - exp(-sqr(4.8 - x11)*x8)*x4) + sqr(0.632 + (- exp(-4.9*x5)*x1) - exp(-sqr(4.9 - x9)*x6)*x2 - exp(-sqr(4.9 - x10)*x7)*x3 - exp(-sqr(4.9 - x11)*x8)*x4) + sqr(0.591 + (-exp(-5*x5)*x1) - exp(-sqr(5 - x9)*x6)*x2 - exp(-sqr(5 - x10)*x7)*x3 - exp(-sqr(5 - x11)*x8)*x4) + sqr(0.559 + (-exp(-5.1*x5)*x1) - exp(-sqr(5.1 - x9)*x6)*x2 - exp(-sqr(5.1 - x10)*x7)*x3 - exp(-sqr(5.1 - x11)*x8)*x4) + sqr(0.597 + (-exp(-5.2*x5)* x1) - exp(-sqr(5.2 - x9)*x6)*x2 - exp(-sqr(5.2 - x10)*x7)*x3 - exp(-sqr( 5.2 - x11)*x8)*x4) + sqr(0.625 + (-exp(-5.3*x5)*x1) - exp(-sqr(5.3 - x9)* x6)*x2 - exp(-sqr(5.3 - x10)*x7)*x3 - exp(-sqr(5.3 - x11)*x8)*x4) + sqr( 0.739 + (-exp(-5.4*x5)*x1) - exp(-sqr(5.4 - x9)*x6)*x2 - exp(-sqr(5.4 - x10)*x7)*x3 - exp(-sqr(5.4 - x11)*x8)*x4) + sqr(0.71 + (-exp(-5.5*x5)*x1) - exp(-sqr(5.5 - x9)*x6)*x2 - exp(-sqr(5.5 - x10)*x7)*x3 - exp(-sqr(5.5 - x11)*x8)*x4) + sqr(0.729 + (-exp(-5.6*x5)*x1) - exp(-sqr(5.6 - x9)*x6)* x2 - exp(-sqr(5.6 - x10)*x7)*x3 - exp(-sqr(5.6 - x11)*x8)*x4) + sqr(0.72 + (-exp(-5.7*x5)*x1) - exp(-sqr(5.7 - x9)*x6)*x2 - exp(-sqr(5.7 - x10)*x7 )*x3 - exp(-sqr(5.7 - x11)*x8)*x4) + sqr(0.636 + (-exp(-5.8*x5)*x1) - exp( -sqr(5.8 - x9)*x6)*x2 - exp(-sqr(5.8 - x10)*x7)*x3 - exp(-sqr(5.8 - x11)* x8)*x4) + sqr(0.581 + (-exp(-5.9*x5)*x1) - exp(-sqr(5.9 - x9)*x6)*x2 - exp(-sqr(5.9 - x10)*x7)*x3 - exp(-sqr(5.9 - x11)*x8)*x4) + sqr(0.428 + (- exp(-6*x5)*x1) - exp(-sqr(6 - x9)*x6)*x2 - exp(-sqr(6 - x10)*x7)*x3 - exp( -sqr(6 - x11)*x8)*x4) + sqr(0.292 + (-exp(-6.1*x5)*x1) - exp(-sqr(6.1 - x9 )*x6)*x2 - exp(-sqr(6.1 - x10)*x7)*x3 - exp(-sqr(6.1 - x11)*x8)*x4) + sqr( 0.162 + (-exp(-6.2*x5)*x1) - exp(-sqr(6.2 - x9)*x6)*x2 - exp(-sqr(6.2 - x10)*x7)*x3 - exp(-sqr(6.2 - x11)*x8)*x4) + sqr(0.098 + (-exp(-6.3*x5)*x1) - exp(-sqr(6.3 - x9)*x6)*x2 - exp(-sqr(6.3 - x10)*x7)*x3 - exp(-sqr(6.3 - x11)*x8)*x4) + sqr(0.054 + (-exp(-6.4*x5)*x1) - exp(-sqr(6.4 - x9)*x6)* x2 - exp(-sqr(6.4 - x10)*x7)*x3 - exp(-sqr(6.4 - x11)*x8)*x4)) + objvar =E= 0; * set non default bounds * set non default levels x1.l = 1.3; x2.l = 0.65; x3.l = 0.65; x4.l = 0.7; x5.l = 0.6; x6.l = 3; x7.l = 5; x8.l = 7; x9.l = 2; x10.l = 4.5; x11.l = 5.5; * 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;