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Instance pricing050
A firm seeks to determine the price of several new products to enter a competitive market.
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | |
| Referencesⓘ | Davarnia, Danial, Strong relaxations for continuous nonlinear programs based on decision diagrams, Operations Research Letters, 49:2, 2021, 239-245. Davarnia, Danial and van Hoeve, Willem-Jan, Outer approximation for integer nonlinear programs via decision diagrams, Mathematical Programming, 187:1, 2021, 111-150. |
| Sourceⓘ | Mohammadreza Kiaghadi |
| Applicationⓘ | Marketing |
| Added to libraryⓘ | 25 Mar 2024 |
| Problem typeⓘ | NLP |
| #Variablesⓘ | 50 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 50 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | max |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 46 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 5 |
| #Linear Constraintsⓘ | 0 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 5 |
| Operands in Gen. Nonlin. Functionsⓘ | exp mul power sqr |
| Constraints curvatureⓘ | nonconcave |
| #Nonzeros in Jacobianⓘ | 249 |
| #Nonlinear Nonzeros in Jacobianⓘ | 249 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 50 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 50 |
| #Blocks in Hessian of Lagrangianⓘ | 50 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 1 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 1 |
| Average blocksize in Hessian of Lagrangianⓘ | 1.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 1.0000e-03 |
| Maximal coefficientⓘ | 2.0000e+01 |
| Infeasibility of initial pointⓘ | 984 |
| Sparsity Jacobianⓘ |  |
| Sparsity Hessian of Lagrangianⓘ |  |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 6 1 0 5 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 51 51 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL
* 296 1 295
* Solve m using NLP maximizing objvar;
Variables
objvar,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;
Equations
e1,e2,e3,e4,e5,e6;
e1.. -x2 - 20 * x3 - 7 * x4 - 13 * x6 - 2 * x7 - 15 * x8 - 10 * x9 - 15 * x11
- 20 * x12 - 13 * x13 - 18 * x14 - 11 * x15 - 10 * x16 - 6 * x17 - 16 *
x18 - 20 * x19 - 12 * x20 - 6 * x21 - 16 * x22 - 4 * x23 - 15 * x24 - 17
* x25 - 17 * x26 - 13 * x28 - 7 * x29 - 6 * x30 - 16 * x31 - 16 * x32 -
14 * x33 - 13 * x34 - 15 * x35 - 10 * x36 - 20 * x37 - 10 * x38 - 5 * x39
- 18 * x40 - 15 * x41 - x42 - 10 * x44 - 7 * x45 - 12 * x46 - 5 * x47 -
11 * x48 - 18 * x49 - 13 * x50 - 15 * x51 - objvar =E= 0;
e2.. -2.9 * x2 * exp(-0.0010000000000000002 * power(x2, 3)) - 2.1 * x3 * exp(-
0.0010000000000000002 * power(x3, 3)) - 1.7 * x4 * exp(-
0.010000000000000002 * sqr(x4)) - 9.2 * x5 * exp(-0.0010000000000000002
* power(x5, 3)) - 5.7 * x6 * exp(-0.010000000000000002 * sqr(x6)) - 0.9
* x7 * exp(-0.0010000000000000002 * power(x7, 3)) - 7.5 * x8 * exp(-
0.010000000000000002 * sqr(x8)) - 3.6 * x9 * exp(-0.1 * x9) - 2.1 * x10
* exp(-0.1 * x10) - 4.9 * x11 * exp(-0.0010000000000000002 * power(x11,
3)) - 0.9 * x12 * exp(-0.010000000000000002 * sqr(x12)) - 5.6 * x13 * exp
(-0.1 * x13) - 9.3 * x14 * exp(-0.0010000000000000002 * power(x14, 3)) -
3.5 * x15 * exp(-0.010000000000000002 * sqr(x15)) - 3.1 * x16 * exp(-0.1
* x16) - 6.1 * x17 * exp(-0.1 * x17) - 3.9 * x18 * exp(-0.1 * x18) - 6.6
* x19 * exp(-0.010000000000000002 * sqr(x19)) - 8.4 * x20 * exp(-
0.0010000000000000002 * power(x20, 3)) - 2.5 * x21 * exp(-
0.0010000000000000002 * power(x21, 3)) - 5.4 * x22 * exp(-0.1 * x22) -
5.2 * x23 * exp(-0.0010000000000000002 * power(x23, 3)) - 1.9 * x24 * exp
(-0.0010000000000000002 * power(x24, 3)) - 5.5 * x25 * exp(-
0.010000000000000002 * sqr(x25)) - 5.5 * x26 * exp(-0.1 * x26) - 4.9 *
x27 * exp(-0.0010000000000000002 * power(x27, 3)) - 0.5 * x28 * exp(-0.1
* x28) - 6.7 * x29 * exp(-0.1 * x29) - 4.5 * x30 * exp(-0.1 * x30) - 0.4
* x31 * exp(-0.010000000000000002 * sqr(x31)) - 7.1 * x32 * exp(-0.1 *
x32) - 1.5 * x33 * exp(-0.010000000000000002 * sqr(x33)) - 2.4 * x34 *
exp(-0.010000000000000002 * sqr(x34)) - 3.3 * x35 * exp(-
0.010000000000000002 * sqr(x35)) - 3.2 * x36 * exp(-0.0010000000000000002
* power(x36, 3)) - 9.2 * x37 * exp(-0.010000000000000002 * sqr(x37)) - 3
* x38 * exp(-0.0010000000000000002 * power(x38, 3)) - 6.9 * x39 * exp(
-0.1 * x39) - 0.4 * x40 * exp(-0.1 * x40) - 2.3 * x41 * exp(-
0.0010000000000000002 * power(x41, 3)) - 3.1 * x42 * exp(-
0.0010000000000000002 * power(x42, 3)) - 3.6 * x43 * exp(-
0.0010000000000000002 * power(x43, 3)) - 7.4 * x44 * exp(-
0.010000000000000002 * sqr(x44)) - 8.9 * x45 * exp(-0.010000000000000002
* sqr(x45)) - 5.8 * x46 * exp(-0.0010000000000000002 * power(x46, 3)) -
0.3 * x47 * exp(-0.1 * x47) - 9 * x48 * exp(-0.0010000000000000002 *
power(x48, 3)) - 1.4 * x49 * exp(-0.1 * x49) - 2.7 * x50 * exp(-
0.0010000000000000002 * power(x50, 3)) - 4.8 * x51 * exp(-0.1 * x51) =L=
-500;
e3.. -2.1 * x2 * exp(-0.0010000000000000002 * power(x2, 3)) - 8.3 * x3 * exp(-
0.0010000000000000002 * power(x3, 3)) - 9 * x4 * exp(-0.1 * x4) - 5.6 *
x5 * exp(-0.1 * x5) - 3 * x6 * exp(-0.010000000000000002 * sqr(x6)) - 6.4
* x7 * exp(-0.1 * x7) - 7.7 * x8 * exp(-0.0010000000000000002 * power(x8
, 3)) - 4.4 * x9 * exp(-0.1 * x9) - 1.3 * x10 * exp(-0.1 * x10) - 5.8 *
x11 * exp(-0.010000000000000002 * sqr(x11)) - 8.6 * x12 * exp(-
0.010000000000000002 * sqr(x12)) - 1.1 * x13 * exp(-0.010000000000000002
* sqr(x13)) - 3.1 * x14 * exp(-0.0010000000000000002 * power(x14, 3)) -
7.4 * x15 * exp(-0.010000000000000002 * sqr(x15)) - 4.2 * x16 * exp(-0.1
* x16) - 5.6 * x17 * exp(-0.010000000000000002 * sqr(x17)) - 2.6 * x18 *
exp(-0.1 * x18) - 6.5 * x19 * exp(-0.1 * x19) - 4.6 * x20 * exp(-
0.0010000000000000002 * power(x20, 3)) - 4.3 * x21 * exp(-
0.010000000000000002 * sqr(x21)) - 7.8 * x22 * exp(-0.010000000000000002
* sqr(x22)) - 3.4 * x23 * exp(-0.010000000000000002 * sqr(x23)) - 1.6 *
x24 * exp(-0.010000000000000002 * sqr(x24)) - 1.2 * x25 * exp(-
0.0010000000000000002 * power(x25, 3)) - 8.7 * x26 * exp(-0.1 * x26) -
0.8 * x27 * exp(-0.1 * x27) - 5 * x28 * exp(-0.010000000000000002 * sqr(
x28)) - 3.7 * x29 * exp(-0.0010000000000000002 * power(x29, 3)) - 3.1 *
x30 * exp(-0.010000000000000002 * sqr(x30)) - 0.7 * x31 * exp(-
0.0010000000000000002 * power(x31, 3)) - 4.6 * x32 * exp(-
0.0010000000000000002 * power(x32, 3)) - 3 * x33 * exp(-
0.010000000000000002 * sqr(x33)) - 9.1 * x34 * exp(-0.0010000000000000002
* power(x34, 3)) - 0.3 * x35 * exp(-0.010000000000000002 * sqr(x35)) -
4.3 * x36 * exp(-0.1 * x36) - 2.1 * x37 * exp(-0.1 * x37) - 2.4 * x38 *
exp(-0.010000000000000002 * sqr(x38)) - 6 * x39 * exp(-
0.010000000000000002 * sqr(x39)) - 8.1 * x40 * exp(-0.010000000000000002
* sqr(x40)) - 9.5 * x41 * exp(-0.1 * x41) - 6.9 * x42 * exp(-
0.0010000000000000002 * power(x42, 3)) - 9.4 * x43 * exp(-
0.010000000000000002 * sqr(x43)) - 4.3 * x44 * exp(-0.0010000000000000002
* power(x44, 3)) - 8.8 * x45 * exp(-0.010000000000000002 * sqr(x45)) -
6.7 * x46 * exp(-0.1 * x46) - 9.6 * x47 * exp(-0.010000000000000002 * sqr
(x47)) - 6.6 * x48 * exp(-0.0010000000000000002 * power(x48, 3)) - 2.6 *
x49 * exp(-0.1 * x49) - 2.1 * x50 * exp(-0.0010000000000000002 * power(
x50, 3)) - 6.1 * x51 * exp(-0.1 * x51) =L= -651;
e4.. -9.3 * x2 * exp(-0.1 * x2) - 0.8 * x3 * exp(-0.1 * x3) - 6.7 * x4 * exp(
-0.1 * x4) - 2.8 * x5 * exp(-0.1 * x5) - 8.7 * x6 * exp(-
0.010000000000000002 * sqr(x6)) - 7.8 * x7 * exp(-0.010000000000000002 *
sqr(x7)) - 2.2 * x8 * exp(-0.0010000000000000002 * power(x8, 3)) - 5.6 *
x9 * exp(-0.1 * x9) - 6.6 * x10 * exp(-0.010000000000000002 * sqr(x10))
- 4.8 * x11 * exp(-0.1 * x11) - x12 * exp(-0.1 * x12) - 1.9 * x13 * exp(
-0.0010000000000000002 * power(x13, 3)) - 8.3 * x14 * exp(-0.1 * x14) - 6
* x15 * exp(-0.0010000000000000002 * power(x15, 3)) - 3.7 * x16 * exp(-
0.010000000000000002 * sqr(x16)) - 6.4 * x17 * exp(-0.010000000000000002
* sqr(x17)) - 4.8 * x18 * exp(-0.010000000000000002 * sqr(x18)) - 9.2 *
x19 * exp(-0.1 * x19) - 8.8 * x20 * exp(-0.0010000000000000002 * power(
x20, 3)) - 7.3 * x21 * exp(-0.010000000000000002 * sqr(x21)) - 9.8 * x22
* exp(-0.0010000000000000002 * power(x22, 3)) - 6.3 * x23 * exp(-
0.0010000000000000002 * power(x23, 3)) - 1.9 * x24 * exp(-0.1 * x24) -
1.3 * x25 * exp(-0.0010000000000000002 * power(x25, 3)) - 1.8 * x26 * exp
(-0.010000000000000002 * sqr(x26)) - 5.5 * x27 * exp(-0.1 * x27) - 5.2 *
x28 * exp(-0.010000000000000002 * sqr(x28)) - 5.1 * x29 * exp(-
0.0010000000000000002 * power(x29, 3)) - 1.6 * x30 * exp(-
0.010000000000000002 * sqr(x30)) - 0.6 * x31 * exp(-0.0010000000000000002
* power(x31, 3)) - 9 * x32 * exp(-0.0010000000000000002 * power(x32, 3))
- 4.3 * x33 * exp(-0.010000000000000002 * sqr(x33)) - 5.3 * x34 * exp(
-0.1 * x34) - 1.8 * x35 * exp(-0.010000000000000002 * sqr(x35)) - 0.4 *
x36 * exp(-0.1 * x36) - 7.8 * x37 * exp(-0.010000000000000002 * sqr(x37))
- 4.2 * x38 * exp(-0.0010000000000000002 * power(x38, 3)) - 1.1 * x39 *
exp(-0.0010000000000000002 * power(x39, 3)) - 8.3 * x40 * exp(-
0.0010000000000000002 * power(x40, 3)) - 5.9 * x41 * exp(-
0.0010000000000000002 * power(x41, 3)) - 4.7 * x42 * exp(-
0.0010000000000000002 * power(x42, 3)) - 9 * x43 * exp(-0.1 * x43) - 6.5
* x44 * exp(-0.1 * x44) - 3.6 * x45 * exp(-0.010000000000000002 * sqr(x45))
- 3.6 * x46 * exp(-0.1 * x46) - 5.8 * x47 * exp(-0.010000000000000002 *
sqr(x47)) - 0.2 * x48 * exp(-0.0010000000000000002 * power(x48, 3)) - 6.3
* x49 * exp(-0.010000000000000002 * sqr(x49)) - 6 * x50 * exp(-0.1 * x50)
- 8.3 * x51 * exp(-0.1 * x51) =L= -615;
e5.. -4.8 * x2 * exp(-0.0010000000000000002 * power(x2, 3)) - 0.9 * x3 * exp(
-0.1 * x3) - 9.1 * x4 * exp(-0.010000000000000002 * sqr(x4)) - 4.6 * x5
* exp(-0.010000000000000002 * sqr(x5)) - 6.7 * x6 * exp(-
0.0010000000000000002 * power(x6, 3)) - 1.1 * x7 * exp(-0.1 * x7) - 7.6 *
x8 * exp(-0.0010000000000000002 * power(x8, 3)) - 4.7 * x9 * exp(-
0.010000000000000002 * sqr(x9)) - 8.6 * x10 * exp(-0.010000000000000002
* sqr(x10)) - 4.6 * x11 * exp(-0.0010000000000000002 * power(x11, 3)) -
8.5 * x12 * exp(-0.0010000000000000002 * power(x12, 3)) - 0.3 * x13 * exp
(-0.0010000000000000002 * power(x13, 3)) - 3.8 * x14 * exp(-0.1 * x14) -
1.9 * x15 * exp(-0.1 * x15) - 3.6 * x16 * exp(-0.1 * x16) - 5 * x17 * exp
(-0.010000000000000002 * sqr(x17)) - 6.9 * x18 * exp(-
0.010000000000000002 * sqr(x18)) - 5.7 * x19 * exp(-0.010000000000000002
* sqr(x19)) - 0.2 * x20 * exp(-0.0010000000000000002 * power(x20, 3)) -
2.5 * x21 * exp(-0.0010000000000000002 * power(x21, 3)) - 1.2 * x23 * exp
(-0.010000000000000002 * sqr(x23)) - 3.9 * x24 * exp(-
0.010000000000000002 * sqr(x24)) - 5.5 * x25 * exp(-0.010000000000000002
* sqr(x25)) - 2.6 * x26 * exp(-0.1 * x26) - 5 * x27 * exp(-0.1 * x27) -
2.1 * x28 * exp(-0.1 * x28) - 8.3 * x29 * exp(-0.1 * x29) - 1.1 * x30 *
exp(-0.010000000000000002 * sqr(x30)) - 8.3 * x31 * exp(-0.1 * x31) - 9 *
x32 * exp(-0.010000000000000002 * sqr(x32)) - 9.4 * x33 * exp(-
0.010000000000000002 * sqr(x33)) - 8 * x34 * exp(-0.0010000000000000002
* power(x34, 3)) - 1.3 * x35 * exp(-0.1 * x35) - 0.6 * x36 * exp(-
0.0010000000000000002 * power(x36, 3)) - 5.5 * x37 * exp(-0.1 * x37) -
7.6 * x38 * exp(-0.010000000000000002 * sqr(x38)) - 7.6 * x39 * exp(-
0.0010000000000000002 * power(x39, 3)) - 3.2 * x40 * exp(-
0.0010000000000000002 * power(x40, 3)) - 1.6 * x41 * exp(-
0.0010000000000000002 * power(x41, 3)) - 4 * x42 * exp(-
0.010000000000000002 * sqr(x42)) - 8.1 * x43 * exp(-0.1 * x43) - 1.3 *
x44 * exp(-0.010000000000000002 * sqr(x44)) - 3.6 * x45 * exp(-0.1 * x45)
- 1.8 * x46 * exp(-0.010000000000000002 * sqr(x46)) - 4.4 * x47 * exp(-
0.010000000000000002 * sqr(x47)) - 5.4 * x48 * exp(-0.010000000000000002
* sqr(x48)) - 3.7 * x49 * exp(-0.1 * x49) - 10 * x50 * exp(-0.1 * x50)
- 0.5 * x51 * exp(-0.1 * x51) =L= -788;
e6.. -7.5 * x2 * exp(-0.1 * x2) - 5.7 * x3 * exp(-0.010000000000000002 * sqr(
x3)) - 7.9 * x4 * exp(-0.0010000000000000002 * power(x4, 3)) - 4 * x5 *
exp(-0.0010000000000000002 * power(x5, 3)) - 8.9 * x6 * exp(-
0.010000000000000002 * sqr(x6)) - 2.1 * x7 * exp(-0.010000000000000002 *
sqr(x7)) - 6.4 * x8 * exp(-0.1 * x8) - 9 * x9 * exp(-0.1 * x9) - 2.4 *
x10 * exp(-0.010000000000000002 * sqr(x10)) - 6.6 * x11 * exp(-
0.010000000000000002 * sqr(x11)) - 5.4 * x12 * exp(-0.0010000000000000002
* power(x12, 3)) - 7.3 * x13 * exp(-0.010000000000000002 * sqr(x13)) -
5.9 * x14 * exp(-0.010000000000000002 * sqr(x14)) - 0.7 * x15 * exp(-0.1
* x15) - 7.7 * x16 * exp(-0.0010000000000000002 * power(x16, 3)) - 6.8 *
x17 * exp(-0.0010000000000000002 * power(x17, 3)) - 1.7 * x18 * exp(-
0.0010000000000000002 * power(x18, 3)) - 5.5 * x19 * exp(-0.1 * x19) -
9.3 * x20 * exp(-0.0010000000000000002 * power(x20, 3)) - 7.2 * x21 * exp
(-0.010000000000000002 * sqr(x21)) - 8.5 * x22 * exp(-0.1 * x22) - 8.6 *
x23 * exp(-0.0010000000000000002 * power(x23, 3)) - 0.1 * x24 * exp(-
0.010000000000000002 * sqr(x24)) - 3.1 * x25 * exp(-0.010000000000000002
* sqr(x25)) - 3.5 * x26 * exp(-0.010000000000000002 * sqr(x26)) - 7.8 *
x27 * exp(-0.0010000000000000002 * power(x27, 3)) - 8.5 * x28 * exp(-
0.010000000000000002 * sqr(x28)) - 0.9 * x29 * exp(-0.0010000000000000002
* power(x29, 3)) - 7.9 * x30 * exp(-0.0010000000000000002 * power(x30, 3))
- 8 * x31 * exp(-0.0010000000000000002 * power(x31, 3)) - 2.5 * x32 *
exp(-0.010000000000000002 * sqr(x32)) - 8.1 * x33 * exp(-
0.010000000000000002 * sqr(x33)) - 6 * x34 * exp(-0.010000000000000002 *
sqr(x34)) - 5.8 * x35 * exp(-0.010000000000000002 * sqr(x35)) - 0.7 * x36
* exp(-0.1 * x36) - 2.1 * x37 * exp(-0.0010000000000000002 * power(x37,
3)) - 9.6 * x38 * exp(-0.010000000000000002 * sqr(x38)) - 9.3 * x39 * exp
(-0.1 * x39) - 7.1 * x40 * exp(-0.1 * x40) - 4.7 * x41 * exp(-
0.0010000000000000002 * power(x41, 3)) - 8.7 * x42 * exp(-0.1 * x42) -
9.3 * x43 * exp(-0.010000000000000002 * sqr(x43)) - 1.5 * x44 * exp(-
0.010000000000000002 * sqr(x44)) - 1.4 * x45 * exp(-0.010000000000000002
* sqr(x45)) - 8 * x46 * exp(-0.010000000000000002 * sqr(x46)) - 1.8 *
x47 * exp(-0.0010000000000000002 * power(x47, 3)) - 6.2 * x48 * exp(-
0.010000000000000002 * sqr(x48)) - 6.8 * x49 * exp(-0.010000000000000002
* sqr(x49)) - 8.8 * x50 * exp(-0.010000000000000002 * sqr(x50)) - 2.5 *
x51 * exp(-0.010000000000000002 * sqr(x51)) =L= -984;
* set non-default bounds
x2.lo = 0; x2.up = 10;
x3.lo = 0; x3.up = 10;
x4.lo = 0; x4.up = 10;
x5.lo = 0; x5.up = 10;
x6.lo = 0; x6.up = 10;
x7.lo = 0; x7.up = 10;
x8.lo = 0; x8.up = 10;
x9.lo = 0; x9.up = 10;
x10.lo = 0; x10.up = 10;
x11.lo = 0; x11.up = 10;
x12.lo = 0; x12.up = 10;
x13.lo = 0; x13.up = 10;
x14.lo = 0; x14.up = 10;
x15.lo = 0; x15.up = 10;
x16.lo = 0; x16.up = 10;
x17.lo = 0; x17.up = 10;
x18.lo = 0; x18.up = 10;
x19.lo = 0; x19.up = 10;
x20.lo = 0; x20.up = 10;
x21.lo = 0; x21.up = 10;
x22.lo = 0; x22.up = 10;
x23.lo = 0; x23.up = 10;
x24.lo = 0; x24.up = 10;
x25.lo = 0; x25.up = 10;
x26.lo = 0; x26.up = 10;
x27.lo = 0; x27.up = 10;
x28.lo = 0; x28.up = 10;
x29.lo = 0; x29.up = 10;
x30.lo = 0; x30.up = 10;
x31.lo = 0; x31.up = 10;
x32.lo = 0; x32.up = 10;
x33.lo = 0; x33.up = 10;
x34.lo = 0; x34.up = 10;
x35.lo = 0; x35.up = 10;
x36.lo = 0; x36.up = 10;
x37.lo = 0; x37.up = 10;
x38.lo = 0; x38.up = 10;
x39.lo = 0; x39.up = 10;
x40.lo = 0; x40.up = 10;
x41.lo = 0; x41.up = 10;
x42.lo = 0; x42.up = 10;
x43.lo = 0; x43.up = 10;
x44.lo = 0; x44.up = 10;
x45.lo = 0; x45.up = 10;
x46.lo = 0; x46.up = 10;
x47.lo = 0; x47.up = 10;
x48.lo = 0; x48.up = 10;
x49.lo = 0; x49.up = 10;
x50.lo = 0; x50.up = 10;
x51.lo = 0; x51.up = 10;
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% maximizing objvar;
Last updated: 2024-08-26 Git hash: 6cc1607f