MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance bayes2_50
| Formatsⓘ | ams gms lp mod nl osil pip py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | 0.52020774 (ANTIGONE) 0.52020774 (BARON) 0.00000000 (COUENNE) 0.52020773 (GUROBI) 0.00000000 (LINDO) 0.52020756 (SCIP) 0.00000000 (SHOT) |
| Referencesⓘ | Greenberg, Betsy, Lasdon, L S, and Plummer, John, Using Global Optimization to Estimate Population Class Sizes, Journal of Global Optimization, 36:3, 2006, 319-338. |
| Sourceⓘ | Leon Lasdon |
| Added to libraryⓘ | 31 Jul 2001 |
| Problem typeⓘ | QCP |
| #Variablesⓘ | 86 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 65 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 20 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 77 |
| #Linear Constraintsⓘ | 22 |
| #Quadratic Constraintsⓘ | 55 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | indefinite |
| #Nonzeros in Jacobianⓘ | 601 |
| #Nonlinear Nonzeros in Jacobianⓘ | 440 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 770 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 65 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 65 |
| Average blocksize in Hessian of Lagrangianⓘ | 65.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 9.7217e-04 |
| Maximal coefficientⓘ | 5.1300e+02 |
| Infeasibility of initial pointⓘ | 9945 |
| Sparsity Jacobianⓘ |  |
| Sparsity Hessian of Lagrangianⓘ |  |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 78 68 10 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 87 87 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 622 182 440 0
*
* Solve m using NLP minimizing objvar;
Variables x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18,x19
,x20,x21,x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35,x36
,x37,x38,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51,x52,x53
,x54,x55,x56,x57,x58,x59,x60,x61,x62,x63,x64,x65,x66,x67,x68,x69,x70
,x71,x72,x73,x74,x75,x76,x77,x78,x79,x80,x81,x82,x83,x84,x85,x86
,objvar;
Positive Variables x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17
,x18,x19,x20,x21,x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34
,x35,x36,x37,x38,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51
,x52,x53,x54,x55,x56,x57,x58,x59,x60,x61,x62,x63,x64,x65,x66,x67,x68
,x69,x70,x71,x72,x73,x74,x75,x76,x77,x78,x79,x80,x81,x82,x83,x84,x85
,x86;
Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19
,e20,e21,e22,e23,e24,e25,e26,e27,e28,e29,e30,e31,e32,e33,e34,e35,e36
,e37,e38,e39,e40,e41,e42,e43,e44,e45,e46,e47,e48,e49,e50,e51,e52,e53
,e54,e55,e56,e57,e58,e59,e60,e61,e62,e63,e64,e65,e66,e67,e68,e69,e70
,e71,e72,e73,e74,e75,e76,e77,e78;
e1.. 0.5*x2 - x12*(0.5*x2 + 0.5000500050005*x3 + 0.375037503750375*x4 +
0.249999992497001*x5 + 0.156218732806561*x6 + 0.0937031062453125*x7 +
0.0546382681253312*x8 + 0.0312062456311301*x9 + 0.017542972627178*x10 +
0.00973926749128362*x11) =E= 0;
e2.. 0.5000500050005*x3 - x13*(0.5*x2 + 0.5000500050005*x3 + 0.375037503750375*
x4 + 0.249999992497001*x5 + 0.156218732806561*x6 + 0.0937031062453125*x7
+ 0.0546382681253312*x8 + 0.0312062456311301*x9 + 0.017542972627178*x10
+ 0.00973926749128362*x11) =E= 0;
e3.. 0.24997499749975*x3 - x14*(0.24997499749975*x3 + 0.375037503750375*x4 +
0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e4.. 0.375037503750375*x4 - x15*(0.5*x2 + 0.5000500050005*x3 +
0.375037503750375*x4 + 0.249999992497001*x5 + 0.156218732806561*x6 +
0.0937031062453125*x7 + 0.0546382681253312*x8 + 0.0312062456311301*x9 +
0.017542972627178*x10 + 0.00973926749128362*x11) =E= 0;
e5.. 0.375037503750375*x4 - x16*(0.24997499749975*x3 + 0.375037503750375*x4 +
0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e6.. 0.124962496249625*x4 - x17*(0.124962496249625*x4 + 0.249999992497001*x5 +
0.312562515629377*x6 + 0.312593787516885*x7 + 0.273519564077274*x8 +
0.218793754368866*x9 + 0.164062470437224*x10 + 0.117152290970943*x11)
=E= 0;
e7.. 0.249999992497001*x5 - x18*(0.5*x2 + 0.5000500050005*x3 +
0.375037503750375*x4 + 0.249999992497001*x5 + 0.156218732806561*x6 +
0.0937031062453125*x7 + 0.0546382681253312*x8 + 0.0312062456311301*x9 +
0.017542972627178*x10 + 0.00973926749128362*x11) =E= 0;
e8.. 0.375075018755251*x5 - x19*(0.24997499749975*x3 + 0.375037503750375*x4 +
0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e9.. 0.249999992497001*x5 - x20*(0.124962496249625*x4 + 0.249999992497001*x5 +
0.312562515629377*x6 + 0.312593787516885*x7 + 0.273519564077274*x8 +
0.218793754368866*x9 + 0.164062470437224*x10 + 0.117152290970943*x11)
=E= 0;
e10.. 0.0624624981253751*x5 - x21*(0.0624624981253751*x5 + 0.156218732806561*x6
+ 0.234398432806401*x7 + 0.273519564077274*x8 + 0.273546935193458*x9 +
0.246192241674115*x10 + 0.205139666893903*x11) =E= 0;
e11.. 0.156218732806561*x6 - x22*(0.5*x2 + 0.5000500050005*x3 +
0.375037503750375*x4 + 0.249999992497001*x5 + 0.156218732806561*x6 +
0.0937031062453125*x7 + 0.0546382681253312*x8 + 0.0312062456311301*x9 +
0.017542972627178*x10 + 0.00973926749128362*x11) =E= 0;
e12.. 0.312562515629377*x6 - x23*(0.24997499749975*x3 + 0.375037503750375*x4 +
0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e13.. 0.312562515629377*x6 - x24*(0.124962496249625*x4 + 0.249999992497001*x5
+ 0.312562515629377*x6 + 0.312593787516885*x7 + 0.273519564077274*x8 +
0.218793754368866*x9 + 0.164062470437224*x10 + 0.117152290970943*x11)
=E= 0;
e14.. 0.156218732806561*x6 - x25*(0.0624624981253751*x5 + 0.156218732806561*x6
+ 0.234398432806401*x7 + 0.273519564077274*x8 + 0.273546935193458*x9 +
0.246192241674115*x10 + 0.205139666893903*x11) =E= 0;
e15.. 0.0312187515640633*x6 - x26*(0.0312187515640633*x6 + 0.0937031062453125*
x7 + 0.164046067482601*x8 + 0.218793754368866*x9 + 0.246192241674115*x10
+ 0.246216883075546*x11) =E= 0;
e16.. 0.0937031062453125*x7 - x27*(0.5*x2 + 0.5000500050005*x3 +
0.375037503750375*x4 + 0.249999992497001*x5 + 0.156218732806561*x6 +
0.0937031062453125*x7 + 0.0546382681253312*x8 + 0.0312062456311301*x9 +
0.017542972627178*x10 + 0.00973926749128362*x11) =E= 0;
e17.. 0.234398432806401*x7 - x28*(0.24997499749975*x3 + 0.375037503750375*x4 +
0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e18.. 0.312593787516885*x7 - x29*(0.124962496249625*x4 + 0.249999992497001*x5
+ 0.312562515629377*x6 + 0.312593787516885*x7 + 0.273519564077274*x8 +
0.218793754368866*x9 + 0.164062470437224*x10 + 0.117152290970943*x11)
=E= 0;
e19.. 0.234398432806401*x7 - x30*(0.0624624981253751*x5 + 0.156218732806561*x6
+ 0.234398432806401*x7 + 0.273519564077274*x8 + 0.273546935193458*x9 +
0.246192241674115*x10 + 0.205139666893903*x11) =E= 0;
e20.. 0.0937031062453125*x7 - x31*(0.0312187515640633*x6 + 0.0937031062453125*
x7 + 0.164046067482601*x8 + 0.218793754368866*x9 + 0.246192241674115*x10
+ 0.246216883075546*x11) =E= 0;
e21.. 0.0156015671898445*x7 - x32*(0.0156015671898445*x7 + 0.0546382681253312*
x8 + 0.109331212792365*x9 + 0.164062470437224*x10 + 0.205139666893903*x11
) =E= 0;
e22.. 0.0546382681253312*x8 - x33*(0.5*x2 + 0.5000500050005*x3 +
0.375037503750375*x4 + 0.249999992497001*x5 + 0.156218732806561*x6 +
0.0937031062453125*x7 + 0.0546382681253312*x8 + 0.0312062456311301*x9 +
0.017542972627178*x10 + 0.00973926749128362*x11) =E= 0;
e23.. 0.164046067482601*x8 - x34*(0.24997499749975*x3 + 0.375037503750375*x4 +
0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e24.. 0.273519564077274*x8 - x35*(0.124962496249625*x4 + 0.249999992497001*x5
+ 0.312562515629377*x6 + 0.312593787516885*x7 + 0.273519564077274*x8 +
0.218793754368866*x9 + 0.164062470437224*x10 + 0.117152290970943*x11)
=E= 0;
e25.. 0.273519564077274*x8 - x36*(0.0624624981253751*x5 + 0.156218732806561*x6
+ 0.234398432806401*x7 + 0.273519564077274*x8 + 0.273546935193458*x9 +
0.246192241674115*x10 + 0.205139666893903*x11) =E= 0;
e26.. 0.164046067482601*x8 - x37*(0.0312187515640633*x6 + 0.0937031062453125*x7
+ 0.164046067482601*x8 + 0.218793754368866*x9 + 0.246192241674115*x10 +
0.246216883075546*x11) =E= 0;
e27.. 0.0546382681253312*x8 - x38*(0.0156015671898445*x7 + 0.0546382681253312*
x8 + 0.109331212792365*x9 + 0.164062470437224*x10 + 0.205139666893903*x11
) =E= 0;
e28.. 0.00779610031479713*x8 - x39*(0.00779610031479713*x8 + 0.0312062456311301
*x9 + 0.0702562148313726*x10 + 0.117152290970943*x11) =E= 0;
e29.. 0.0312062456311301*x9 - x40*(0.5*x2 + 0.5000500050005*x3 +
0.375037503750375*x4 + 0.249999992497001*x5 + 0.156218732806561*x6 +
0.0937031062453125*x7 + 0.0546382681253312*x8 + 0.0312062456311301*x9 +
0.017542972627178*x10 + 0.00973926749128362*x11) =E= 0;
e30.. 0.109331212792365*x9 - x41*(0.24997499749975*x3 + 0.375037503750375*x4 +
0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e31.. 0.218793754368866*x9 - x42*(0.124962496249625*x4 + 0.249999992497001*x5
+ 0.312562515629377*x6 + 0.312593787516885*x7 + 0.273519564077274*x8 +
0.218793754368866*x9 + 0.164062470437224*x10 + 0.117152290970943*x11)
=E= 0;
e32.. 0.273546935193458*x9 - x43*(0.0624624981253751*x5 + 0.156218732806561*x6
+ 0.234398432806401*x7 + 0.273519564077274*x8 + 0.273546935193458*x9 +
0.246192241674115*x10 + 0.205139666893903*x11) =E= 0;
e33.. 0.218793754368866*x9 - x44*(0.0312187515640633*x6 + 0.0937031062453125*x7
+ 0.164046067482601*x8 + 0.218793754368866*x9 + 0.246192241674115*x10 +
0.246216883075546*x11) =E= 0;
e34.. 0.109331212792365*x9 - x45*(0.0156015671898445*x7 + 0.0546382681253312*x8
+ 0.109331212792365*x9 + 0.164062470437224*x10 + 0.205139666893903*x11)
=E= 0;
e35.. 0.0312062456311301*x9 - x46*(0.00779610031479713*x8 + 0.0312062456311301*
x9 + 0.0702562148313726*x10 + 0.117152290970943*x11) =E= 0;
e36.. 0.00389531961090585*x9 - x47*(0.00389531961090585*x9 + 0.017542972627178*
x10 + 0.0438881594251137*x11) =E= 0;
e37.. 0.017542972627178*x10 - x48*(0.5*x2 + 0.5000500050005*x3 +
0.375037503750375*x4 + 0.249999992497001*x5 + 0.156218732806561*x6 +
0.0937031062453125*x7 + 0.0546382681253312*x8 + 0.0312062456311301*x9 +
0.017542972627178*x10 + 0.00973926749128362*x11) =E= 0;
e38.. 0.0702562148313726*x10 - x49*(0.24997499749975*x3 + 0.375037503750375*x4
+ 0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e39.. 0.164062470437224*x10 - x50*(0.124962496249625*x4 + 0.249999992497001*x5
+ 0.312562515629377*x6 + 0.312593787516885*x7 + 0.273519564077274*x8 +
0.218793754368866*x9 + 0.164062470437224*x10 + 0.117152290970943*x11)
=E= 0;
e40.. 0.246192241674115*x10 - x51*(0.0624624981253751*x5 + 0.156218732806561*x6
+ 0.234398432806401*x7 + 0.273519564077274*x8 + 0.273546935193458*x9 +
0.246192241674115*x10 + 0.205139666893903*x11) =E= 0;
e41.. 0.246192241674115*x10 - x52*(0.0312187515640633*x6 + 0.0937031062453125*
x7 + 0.164046067482601*x8 + 0.218793754368866*x9 + 0.246192241674115*x10
+ 0.246216883075546*x11) =E= 0;
e42.. 0.164062470437224*x10 - x53*(0.0156015671898445*x7 + 0.0546382681253312*
x8 + 0.109331212792365*x9 + 0.164062470437224*x10 + 0.205139666893903*x11
) =E= 0;
e43.. 0.0702562148313726*x10 - x54*(0.00779610031479713*x8 + 0.0312062456311301
*x9 + 0.0702562148313726*x10 + 0.117152290970943*x11) =E= 0;
e44.. 0.017542972627178*x10 - x55*(0.00389531961090585*x9 + 0.017542972627178*
x10 + 0.0438881594251137*x11) =E= 0;
e45.. 0.00194610043010828*x10 - x56*(0.00194610043010828*x10 +
0.00973926749128362*x11) =E= 0;
e46.. 0.00973926749128362*x11 - x57*(0.5*x2 + 0.5000500050005*x3 +
0.375037503750375*x4 + 0.249999992497001*x5 + 0.156218732806561*x6 +
0.0937031062453125*x7 + 0.0546382681253312*x8 + 0.0312062456311301*x9 +
0.017542972627178*x10 + 0.00973926749128362*x11) =E= 0;
e47.. 0.0438881594251137*x11 - x58*(0.24997499749975*x3 + 0.375037503750375*x4
+ 0.375075018755251*x5 + 0.312562515629377*x6 + 0.234398432806401*x7 +
0.164046067482601*x8 + 0.109331212792365*x9 + 0.0702562148313726*x10 +
0.0438881594251137*x11) =E= 0;
e48.. 0.117152290970943*x11 - x59*(0.124962496249625*x4 + 0.249999992497001*x5
+ 0.312562515629377*x6 + 0.312593787516885*x7 + 0.273519564077274*x8 +
0.218793754368866*x9 + 0.164062470437224*x10 + 0.117152290970943*x11)
=E= 0;
e49.. 0.205139666893903*x11 - x60*(0.0624624981253751*x5 + 0.156218732806561*x6
+ 0.234398432806401*x7 + 0.273519564077274*x8 + 0.273546935193458*x9 +
0.246192241674115*x10 + 0.205139666893903*x11) =E= 0;
e50.. 0.246216883075546*x11 - x61*(0.0312187515640633*x6 + 0.0937031062453125*
x7 + 0.164046067482601*x8 + 0.218793754368866*x9 + 0.246192241674115*x10
+ 0.246216883075546*x11) =E= 0;
e51.. 0.205139666893903*x11 - x62*(0.0156015671898445*x7 + 0.0546382681253312*
x8 + 0.109331212792365*x9 + 0.164062470437224*x10 + 0.205139666893903*x11
) =E= 0;
e52.. 0.117152290970943*x11 - x63*(0.00779610031479713*x8 + 0.0312062456311301*
x9 + 0.0702562148313726*x10 + 0.117152290970943*x11) =E= 0;
e53.. 0.0438881594251137*x11 - x64*(0.00389531961090585*x9 + 0.017542972627178*
x10 + 0.0438881594251137*x11) =E= 0;
e54.. 0.00973926749128362*x11 - x65*(0.00194610043010828*x10 +
0.00973926749128362*x11) =E= 0;
e55.. 0.000972173680979933*x11 - 0.000972173680979933*x66*x11 =E= 0;
e56.. 0.5*x2 - 513*x12 - x67 + x77 =E= 0;
e57.. 0.75002500250025*x3 - 513*x13 - 41*x14 - x68 + x78 =E= 0;
e58.. 0.875037503750375*x4 - 513*x15 - 41*x16 - 100*x17 - x69 + x79 =E= 0;
e59.. 0.937537501874625*x5 - 513*x18 - 41*x19 - 100*x20 - 182*x21 - x70
+ x80 =E= 0;
e60.. 0.968781248435937*x6 - 513*x22 - 41*x23 - 100*x24 - 182*x25 - 248*x26
- x71 + x81 =E= 0;
e61.. 0.984398432810156*x7 - 513*x27 - 41*x28 - 100*x29 - 182*x30 - 248*x31
- 167*x32 - x72 + x82 =E= 0;
e62.. 0.992203899685203*x8 - 513*x33 - 41*x34 - 100*x35 - 182*x36 - 248*x37
- 167*x38 - 89*x39 - x73 + x83 =E= 0;
e63.. 0.996104680389094*x9 - 513*x40 - 41*x41 - 100*x42 - 182*x43 - 248*x44
- 167*x45 - 89*x46 - 48*x47 - x74 + x84 =E= 0;
e64.. 0.998053899569892*x10 - 513*x48 - 41*x49 - 100*x50 - 182*x51 - 248*x52
- 167*x53 - 89*x54 - 48*x55 - 12*x56 - x75 + x85 =E= 0;
e65.. 0.99902782631902*x11 - 513*x57 - 41*x58 - 100*x59 - 182*x60 - 248*x61
- 167*x62 - 89*x63 - 48*x64 - 12*x65 - 2*x66 - x76 + x86 =E= 0;
e66.. x2 + 2*x3 + 3*x4 + 4*x5 + 5*x6 + 6*x7 + 7*x8 + 8*x9 + 9*x10 + 10*x11
=E= 10000;
e67.. x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 =G= 513;
e68.. x3 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 =G= 41;
e69.. x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 =G= 100;
e70.. x5 + x6 + x7 + x8 + x9 + x10 + x11 =G= 182;
e71.. x6 + x7 + x8 + x9 + x10 + x11 =G= 248;
e72.. x7 + x8 + x9 + x10 + x11 =G= 167;
e73.. x8 + x9 + x10 + x11 =G= 89;
e74.. x9 + x10 + x11 =G= 48;
e75.. x10 + x11 =G= 12;
e76.. x11 =G= 2;
e77.. - x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 =E= 0;
e78.. - x67 - x68 - x69 - x70 - x71 - x72 - x73 - x74 - x75 - x76 - x77 - x78
- x79 - x80 - x81 - x82 - x83 - x84 - x85 - x86 + objvar =E= 0;
* set non-default bounds
x2.up = 10000;
x3.up = 10000;
x4.up = 10000;
x5.up = 10000;
x6.up = 10000;
x7.up = 10000;
x8.up = 10000;
x9.up = 10000;
x10.up = 10000;
x11.up = 10000;
x12.up = 1;
x13.up = 1;
x14.up = 1;
x15.up = 1;
x16.up = 1;
x17.up = 1;
x18.up = 1;
x19.up = 1;
x20.up = 1;
x21.up = 1;
x22.up = 1;
x23.up = 1;
x24.up = 1;
x25.up = 1;
x26.up = 1;
x27.up = 1;
x28.up = 1;
x29.up = 1;
x30.up = 1;
x31.up = 1;
x32.up = 1;
x33.up = 1;
x34.up = 1;
x35.up = 1;
x36.up = 1;
x37.up = 1;
x38.up = 1;
x39.up = 1;
x40.up = 1;
x41.up = 1;
x42.up = 1;
x43.up = 1;
x44.up = 1;
x45.up = 1;
x46.up = 1;
x47.up = 1;
x48.up = 1;
x49.up = 1;
x50.up = 1;
x51.up = 1;
x52.up = 1;
x53.up = 1;
x54.up = 1;
x55.up = 1;
x56.up = 1;
x57.up = 1;
x58.up = 1;
x59.up = 1;
x60.up = 1;
x61.up = 1;
x62.up = 1;
x63.up = 1;
x64.up = 1;
x65.up = 1;
x66.up = 1;
x67.up = 1000;
x68.up = 1000;
x69.up = 1000;
x70.up = 1000;
x71.up = 1000;
x72.up = 1000;
x73.up = 1000;
x74.up = 1000;
x75.up = 1000;
x76.up = 1000;
x77.up = 1000;
x78.up = 1000;
x79.up = 1000;
x80.up = 1000;
x81.up = 1000;
x82.up = 1000;
x83.up = 1000;
x84.up = 1000;
x85.up = 1000;
x86.up = 1000;
* set non-default levels
x2.l = 1;
x3.l = 1;
x4.l = 1;
x5.l = 1;
x6.l = 1;
x7.l = 1;
x8.l = 1;
x9.l = 1;
x10.l = 1;
x11.l = 1;
x12.l = 0.01;
x13.l = 0.01;
x14.l = 0.01;
x15.l = 0.01;
x16.l = 0.01;
x17.l = 0.01;
x18.l = 0.01;
x19.l = 0.01;
x20.l = 0.01;
x21.l = 0.01;
x22.l = 0.01;
x23.l = 0.01;
x24.l = 0.01;
x25.l = 0.01;
x26.l = 0.01;
x27.l = 0.01;
x28.l = 0.01;
x29.l = 0.01;
x30.l = 0.01;
x31.l = 0.01;
x32.l = 0.01;
x33.l = 0.01;
x34.l = 0.01;
x35.l = 0.01;
x36.l = 0.01;
x37.l = 0.01;
x38.l = 0.01;
x39.l = 0.01;
x40.l = 0.01;
x41.l = 0.01;
x42.l = 0.01;
x43.l = 0.01;
x44.l = 0.01;
x45.l = 0.01;
x46.l = 0.01;
x47.l = 0.01;
x48.l = 0.01;
x49.l = 0.01;
x50.l = 0.01;
x51.l = 0.01;
x52.l = 0.01;
x53.l = 0.01;
x54.l = 0.01;
x55.l = 0.01;
x56.l = 0.01;
x57.l = 0.01;
x58.l = 0.01;
x59.l = 0.01;
x60.l = 0.01;
x61.l = 0.01;
x62.l = 0.01;
x63.l = 0.01;
x64.l = 0.01;
x65.l = 0.01;
x66.l = 0.01;
Model m / all /;
m.limrow=0; m.limcol=0;
m.tolproj=0.0;
$if NOT '%gams.u1%' == '' $include '%gams.u1%'
$if not set NLP $set NLP NLP
Solve m using %NLP% minimizing objvar;
Last updated: 2025-08-07 Git hash: e62cedfc