MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance maxmineig2
| Formatsⓘ | ams gms lp mod nl osil pip py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | 0.39550690 (ANTIGONE) 0.39550690 (BARON) 0.39550690 (COUENNE) 0.39550680 (GUROBI) 0.39550690 (LINDO) 0.39550689 (SCIP) |
| Sourceⓘ | maxmineig2 from Semidefinite Programming Models by R. Vanderbei |
| Added to libraryⓘ | 06 Feb 2017 |
| Problem typeⓘ | QCP |
| #Variablesⓘ | 200 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 99 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 54 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 111 |
| #Linear Constraintsⓘ | 21 |
| #Quadratic Constraintsⓘ | 90 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | indefinite |
| #Nonzeros in Jacobianⓘ | 1348 |
| #Nonlinear Nonzeros in Jacobianⓘ | 588 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 588 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
| #Blocks in Hessian of Lagrangianⓘ | 9 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 3 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 19 |
| Average blocksize in Hessian of Lagrangianⓘ | 11.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 9.5654e-02 |
| Maximal coefficientⓘ | 5.2128e+00 |
| Infeasibility of initial pointⓘ | 99 |
| Sparsity Jacobianⓘ |  |
| Sparsity Hessian of Lagrangianⓘ |  |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 112 112 0 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 201 201 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 1403 815 588 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,x87
,x88,x89,x90,x91,x92,x93,x94,x95,x96,x97,x98,x99,x100,x101,x102,x103
,x104,x105,x106,x107,x108,x109,x110,x111,x112,x113,x114,x115,x116
,x117,x118,x119,x120,x121,x122,x123,x124,x125,x126,x127,x128,x129
,x130,x131,x132,x133,x134,x135,x136,x137,x138,x139,x140,x141,x142
,x143,x144,x145,x146,x147,x148,x149,x150,x151,x152,x153,x154,x155
,x156,x157,x158,x159,x160,x161,x162,x163,x164,x165,x166,x167,x168
,x169,x170,x171,x172,x173,x174,x175,x176,x177,x178,x179,x180,x181
,x182,x183,x184,x185,x186,x187,x188,x189,x190,x191,x192,x193,x194
,x195,x196,x197,x198,x199,x200,objvar;
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,e79,e80,e81,e82,e83,e84,e85,e86,e87
,e88,e89,e90,e91,e92,e93,e94,e95,e96,e97,e98,e99,e100,e101,e102,e103
,e104,e105,e106,e107,e108,e109,e110,e111,e112;
e1.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
- 0.1*x200 =E= 0;
e2.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
- 0.1*x200 =E= 0;
e3.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
- 0.1*x200 =E= 0;
e4.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
- 0.1*x200 =E= 0;
e5.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
- 0.1*x200 =E= 0;
e6.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
- 0.1*x200 =E= 0;
e7.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
- 0.1*x200 =E= 0;
e8.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
- 0.1*x200 =E= 0;
e9.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 - 0.1*x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 - 0.1*x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
- 0.1*x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168
+ 2*x169 + 2*x170 - 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190
+ 0.9*x200 =E= 0;
e10.. x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107 + 2*x108
+ 2*x109 + 2*x110 + x112 + 2*x113 + 2*x114 + 2*x115 + 2*x116 + 2*x117
+ 2*x118 + 2*x119 + 2*x120 + x123 + 2*x124 + 2*x125 + 2*x126 + 2*x127
+ 2*x128 + 2*x129 + 2*x130 + x134 + 2*x135 + 2*x136 + 2*x137 + 2*x138
+ 2*x139 + 2*x140 + x145 + 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150
+ x156 + 2*x157 + 2*x158 + 2*x159 + 2*x160 + x167 + 2*x168 + 2*x169
+ 2*x170 + x178 + 2*x179 + 2*x180 + x189 + 2*x190 + x200 =E= 1;
e11.. x1 - x101 =E= 0;
e12.. x2 - x111 =E= 0;
e13.. x56*x2 + x3 - x112 =E= 0;
e14.. x4 - x121 =E= 0;
e15.. x56*x4 + x5 - x122 =E= 0;
e16.. x57*x4 + x5*x65 + x6 - x123 =E= 0;
e17.. x7 - x131 =E= 0;
e18.. x56*x7 + x8 - x132 =E= 0;
e19.. x57*x7 + x65*x8 + x9 - x133 =E= 0;
e20.. x58*x7 + x8*x66 + x9*x73 + x10 - x134 =E= 0;
e21.. x11 - x141 =E= 0;
e22.. x56*x11 + x12 - x142 =E= 0;
e23.. x57*x11 + x65*x12 + x13 - x143 =E= 0;
e24.. x58*x11 + x66*x12 + x73*x13 + x14 - x144 =E= 0;
e25.. x59*x11 + x12*x67 + x13*x74 + x14*x80 + x15 - x145 =E= 0;
e26.. x16 - x151 =E= 0;
e27.. x56*x16 + x17 - x152 =E= 0;
e28.. x57*x16 + x65*x17 + x18 - x153 =E= 0;
e29.. x58*x16 + x66*x17 + x73*x18 + x19 - x154 =E= 0;
e30.. x59*x16 + x67*x17 + x74*x18 + x80*x19 + x20 - x155 =E= 0;
e31.. x60*x16 + x17*x68 + x18*x75 + x19*x81 + x20*x86 + x21 - x156 =E= 0;
e32.. x22 - x161 =E= 0;
e33.. x56*x22 + x23 - x162 =E= 0;
e34.. x57*x22 + x65*x23 + x24 - x163 =E= 0;
e35.. x58*x22 + x66*x23 + x73*x24 + x25 - x164 =E= 0;
e36.. x59*x22 + x67*x23 + x74*x24 + x80*x25 + x26 - x165 =E= 0;
e37.. x60*x22 + x68*x23 + x75*x24 + x81*x25 + x86*x26 + x27 - x166 =E= 0;
e38.. x61*x22 + x23*x69 + x24*x76 + x25*x82 + x26*x87 + x27*x91 + x28 - x167
=E= 0;
e39.. x29 - x171 =E= 0;
e40.. x56*x29 + x30 - x172 =E= 0;
e41.. x57*x29 + x65*x30 + x31 - x173 =E= 0;
e42.. x58*x29 + x66*x30 + x73*x31 + x32 - x174 =E= 0;
e43.. x59*x29 + x67*x30 + x74*x31 + x80*x32 + x33 - x175 =E= 0;
e44.. x60*x29 + x68*x30 + x75*x31 + x81*x32 + x86*x33 + x34 - x176 =E= 0;
e45.. x61*x29 + x91*x34 + x69*x30 + x76*x31 + x82*x32 + x87*x33 + x35 - x177
=E= 0;
e46.. x62*x29 + x30*x70 + x31*x77 + x32*x83 + x33*x88 + x34*x92 + x35*x95 + x36
- x178 =E= 0;
e47.. x37 - x181 =E= 0;
e48.. x56*x37 + x38 - x182 =E= 0;
e49.. x57*x37 + x65*x38 + x39 - x183 =E= 0;
e50.. x58*x37 + x66*x38 + x73*x39 + x40 - x184 =E= 0;
e51.. x59*x37 + x67*x38 + x74*x39 + x80*x40 + x41 - x185 =E= 0;
e52.. x60*x37 + x68*x38 + x75*x39 + x81*x40 + x86*x41 + x42 - x186 =E= 0;
e53.. x61*x37 + x91*x42 + x69*x38 + x76*x39 + x82*x40 + x87*x41 + x43 - x187
=E= 0;
e54.. x62*x37 + x92*x42 + x70*x38 + x77*x39 + x95*x43 + x83*x40 + x88*x41 + x44
- x188 =E= 0;
e55.. x63*x37 + x38*x71 + x39*x78 + x40*x84 + x41*x89 + x42*x93 + x43*x96 + x44
*x98 + x45 - x189 =E= 0;
e56.. x46 - x191 =E= 0;
e57.. x56*x46 + x47 - x192 =E= 0;
e58.. x57*x46 + x65*x47 + x48 - x193 =E= 0;
e59.. x58*x46 + x66*x47 + x73*x48 + x49 - x194 =E= 0;
e60.. x59*x46 + x67*x47 + x74*x48 + x80*x49 + x50 - x195 =E= 0;
e61.. x60*x46 + x68*x47 + x75*x48 + x81*x49 + x86*x50 + x51 - x196 =E= 0;
e62.. x61*x46 + x91*x51 + x69*x47 + x76*x48 + x82*x49 + x87*x50 + x52 - x197
=E= 0;
e63.. x62*x46 + x92*x51 + x70*x47 + x77*x48 + x95*x52 + x83*x49 + x88*x50 + x53
- x198 =E= 0;
e64.. x63*x46 + x93*x51 + x71*x47 + x78*x48 + x96*x52 + x84*x49 + x98*x53 + x89
*x50 + x54 - x199 =E= 0;
e65.. x64*x46 + x47*x72 + x48*x79 + x49*x85 + x50*x90 + x51*x94 + x52*x97 + x53
*x99 + x54*x100 + x55 - x200 =E= 0;
e66.. x1*x56 - x102 =E= 0;
e67.. x1*x57 - x103 =E= 0;
e68.. x1*x58 - x104 =E= 0;
e69.. x1*x59 - x105 =E= 0;
e70.. x1*x60 - x106 =E= 0;
e71.. x1*x61 - x107 =E= 0;
e72.. x1*x62 - x108 =E= 0;
e73.. x1*x63 - x109 =E= 0;
e74.. x1*x64 - x110 =E= 0;
e75.. x3*x65 - x113 =E= 0;
e76.. x3*x66 - x114 =E= 0;
e77.. x3*x67 - x115 =E= 0;
e78.. x3*x68 - x116 =E= 0;
e79.. x3*x69 - x117 =E= 0;
e80.. x3*x70 - x118 =E= 0;
e81.. x3*x71 - x119 =E= 0;
e82.. x3*x72 - x120 =E= 0;
e83.. x4*x58 + x6*x73 - x124 =E= 0;
e84.. x4*x59 + x6*x74 - x125 =E= 0;
e85.. x4*x60 + x6*x75 - x126 =E= 0;
e86.. x4*x61 + x6*x76 - x127 =E= 0;
e87.. x4*x62 + x6*x77 - x128 =E= 0;
e88.. x4*x63 + x6*x78 - x129 =E= 0;
e89.. x4*x64 + x6*x79 - x130 =E= 0;
e90.. x7*x59 + x8*x67 + x10*x80 - x135 =E= 0;
e91.. x7*x60 + x8*x68 + x10*x81 - x136 =E= 0;
e92.. x7*x61 + x8*x69 + x10*x82 - x137 =E= 0;
e93.. x7*x62 + x8*x70 + x10*x83 - x138 =E= 0;
e94.. x7*x63 + x8*x71 + x10*x84 - x139 =E= 0;
e95.. x7*x64 + x8*x72 + x10*x85 - x140 =E= 0;
e96.. x11*x60 + x12*x68 + x13*x75 + x15*x86 - x146 =E= 0;
e97.. x11*x61 + x12*x69 + x13*x76 + x15*x87 - x147 =E= 0;
e98.. x11*x62 + x12*x70 + x13*x77 + x15*x88 - x148 =E= 0;
e99.. x11*x63 + x12*x71 + x13*x78 + x15*x89 - x149 =E= 0;
e100.. x11*x64 + x12*x72 + x13*x79 + x15*x90 - x150 =E= 0;
e101.. x16*x61 + x17*x69 + x18*x76 + x19*x82 + x21*x91 - x157 =E= 0;
e102.. x16*x62 + x17*x70 + x18*x77 + x19*x83 + x21*x92 - x158 =E= 0;
e103.. x16*x63 + x17*x71 + x18*x78 + x19*x84 + x21*x93 - x159 =E= 0;
e104.. x16*x64 + x17*x72 + x18*x79 + x19*x85 + x21*x94 - x160 =E= 0;
e105.. x22*x62 + x23*x70 + x24*x77 + x25*x83 + x26*x88 + x28*x95 - x168 =E= 0;
e106.. x22*x63 + x23*x71 + x24*x78 + x25*x84 + x26*x89 + x28*x96 - x169 =E= 0;
e107.. x22*x64 + x23*x72 + x24*x79 + x25*x85 + x26*x90 + x28*x97 - x170 =E= 0;
e108.. x29*x63 + x30*x71 + x31*x78 + x32*x84 + x33*x89 + x34*x93 + x36*x98
- x179 =E= 0;
e109.. x29*x64 + x30*x72 + x31*x79 + x32*x85 + x33*x90 + x34*x94 + x36*x99
- x180 =E= 0;
e110.. x37*x64 + x38*x72 + x39*x79 + x40*x85 + x41*x90 + x42*x94 + x43*x97 +
x45*x100 - x190 =E= 0;
e111.. - 0.1*x101 + 2*x102 + 2*x103 + 2*x104 + 2*x105 + 2*x106 + 2*x107
+ 2*x108 + 2*x109 + 2*x110 - 0.1*x112 + 2*x113 + 2*x114 + 2*x115
+ 2*x116 + 2*x117 + 2*x118 + 2*x119 + 2*x120 - 0.1*x123 + 2*x124
+ 2*x125 + 2*x126 + 2*x127 + 2*x128 + 2*x129 + 2*x130 - 0.1*x134
+ 2*x135 + 2*x136 + 2*x137 + 2*x138 + 2*x139 + 2*x140 - 0.1*x145
+ 2*x146 + 2*x147 + 2*x148 + 2*x149 + 2*x150 - 0.1*x156 + 2*x157
+ 2*x158 + 2*x159 + 2*x160 - 0.1*x167 + 2*x168 + 2*x169 + 2*x170
- 0.1*x178 + 2*x179 + 2*x180 - 0.1*x189 + 2*x190 - 0.1*x200 =E= 0;
e112.. - 1.08828*x102 - 1.05718*x103 - 0.228192*x104 + 1.30634*x105
+ 0.65168*x106 + 1.260084*x107 + 0.469946*x108 + 0.34633*x109
- 2.809918*x110 - 3.586448*x112 - 0.972156*x113 + 1.285152*x114
- 3.645282*x115 - 0.38707*x116 - 1.048474*x117 - 0.627214*x118
- 3.746396*x119 + 4.027804*x120 - 3.29591*x123 - 4.485358*x124
+ 1.217538*x125 - 0.095654*x126 - 0.943638*x127 + 0.621584*x128
+ 1.716882*x129 + 2.250502*x130 - 1.323736*x134 - 2.264256*x135
- 0.875896*x136 - 1.144872*x137 + 0.163352*x138 - 0.966758*x139
- 3.761826*x140 - 1.477326*x145 - 1.132984*x146 + 1.461894*x147
- 5.21283*x148 + 3.950838*x149 - 1.46395*x150 - 4.341016*x156
+ 1.031632*x157 + 1.94693*x158 - 1.343486*x159 - 1.343322*x160
- 4.430323*x167 - 0.825328*x168 - 0.150462*x169 - 0.956186*x170
- 0.964514*x178 + 0.61663*x179 - 4.296174*x180 - 2.642236*x189
- 3.406506*x190 - 0.266262*x200 + objvar =E= 0;
* set non-default bounds
x1.lo = 1E-8;
x2.lo = 1E-8;
x3.lo = 1E-8;
x4.lo = 1E-8;
x5.lo = 1E-8;
x6.lo = 1E-8;
x7.lo = 1E-8;
x8.lo = 1E-8;
x9.lo = 1E-8;
x10.lo = 1E-8;
x11.lo = 1E-8;
x12.lo = 1E-8;
x13.lo = 1E-8;
x14.lo = 1E-8;
x15.lo = 1E-8;
x16.lo = 1E-8;
x17.lo = 1E-8;
x18.lo = 1E-8;
x19.lo = 1E-8;
x20.lo = 1E-8;
x21.lo = 1E-8;
x22.lo = 1E-8;
x23.lo = 1E-8;
x24.lo = 1E-8;
x25.lo = 1E-8;
x26.lo = 1E-8;
x27.lo = 1E-8;
x28.lo = 1E-8;
x29.lo = 1E-8;
x30.lo = 1E-8;
x31.lo = 1E-8;
x32.lo = 1E-8;
x33.lo = 1E-8;
x34.lo = 1E-8;
x35.lo = 1E-8;
x36.lo = 1E-8;
x37.lo = 1E-8;
x38.lo = 1E-8;
x39.lo = 1E-8;
x40.lo = 1E-8;
x41.lo = 1E-8;
x42.lo = 1E-8;
x43.lo = 1E-8;
x44.lo = 1E-8;
x45.lo = 1E-8;
x46.lo = 1E-8;
x47.lo = 1E-8;
x48.lo = 1E-8;
x49.lo = 1E-8;
x50.lo = 1E-8;
x51.lo = 1E-8;
x52.lo = 1E-8;
x53.lo = 1E-8;
x54.lo = 1E-8;
x55.lo = 1E-8;
x56.lo = 0.01;
x57.lo = 0.01;
x58.lo = 0.01;
x59.lo = 0.01;
x60.lo = 0.01;
x61.lo = 0.01;
x62.lo = 0.01;
x63.lo = 0.01;
x64.lo = 0.01;
x65.lo = 0.01;
x66.lo = 0.01;
x67.lo = 0.01;
x68.lo = 0.01;
x69.lo = 0.01;
x70.lo = 0.01;
x71.lo = 0.01;
x72.lo = 0.01;
x73.lo = 0.01;
x74.lo = 0.01;
x75.lo = 0.01;
x76.lo = 0.01;
x77.lo = 0.01;
x78.lo = 0.01;
x79.lo = 0.01;
x80.lo = 0.01;
x81.lo = 0.01;
x82.lo = 0.01;
x83.lo = 0.01;
x84.lo = 0.01;
x85.lo = 0.01;
x86.lo = 0.01;
x87.lo = 0.01;
x88.lo = 0.01;
x89.lo = 0.01;
x90.lo = 0.01;
x91.lo = 0.01;
x92.lo = 0.01;
x93.lo = 0.01;
x94.lo = 0.01;
x95.lo = 0.01;
x96.lo = 0.01;
x97.lo = 0.01;
x98.lo = 0.01;
x99.lo = 0.01;
x100.lo = 0.01;
* set non-default levels
x101.l = 1;
x102.l = 1;
x103.l = 1;
x104.l = 1;
x105.l = 1;
x106.l = 1;
x107.l = 1;
x108.l = 1;
x109.l = 1;
x110.l = 1;
x112.l = 1;
x113.l = 1;
x114.l = 1;
x115.l = 1;
x116.l = 1;
x117.l = 1;
x118.l = 1;
x119.l = 1;
x120.l = 1;
x123.l = 1;
x124.l = 1;
x125.l = 1;
x126.l = 1;
x127.l = 1;
x128.l = 1;
x129.l = 1;
x130.l = 1;
x134.l = 1;
x135.l = 1;
x136.l = 1;
x137.l = 1;
x138.l = 1;
x139.l = 1;
x140.l = 1;
x145.l = 1;
x146.l = 1;
x147.l = 1;
x148.l = 1;
x149.l = 1;
x150.l = 1;
x156.l = 1;
x157.l = 1;
x158.l = 1;
x159.l = 1;
x160.l = 1;
x167.l = 1;
x168.l = 1;
x169.l = 1;
x170.l = 1;
x178.l = 1;
x179.l = 1;
x180.l = 1;
x189.l = 1;
x190.l = 1;
x200.l = 1;
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: 2024-12-17 Git hash: 8eaceb91