MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Removed Instance bayes2_10
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | 0.00000001 (ANTIGONE) 0.00030509 (BARON) 0.00000000 (COUENNE) 0.00000000 (GUROBI) 0.00000000 (LINDO) 0.00000000 (SCIP) |
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 |
Removed from libraryⓘ | 01 Mar 2022 |
Removed becauseⓘ | Numerically difficult formulation (coefficient of order 1E-11) |
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ⓘ | 586 |
#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ⓘ | 9.4106e-11 |
Maximal coefficientⓘ | 4.4900e+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 * 607 167 440 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.. 0.0997999999999999*x2 - x12*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e2.. 0.179697889788979*x3 - x13*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e3.. 0.00995105510551053*x3 - x14*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e4.. 0.242667639426474*x4 - x15*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e5.. 0.0268791952569931*x4 - x16*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e6.. 0.000991323353179483*x4 - x17*(0.000991323353179483*x4 + 0.00357062831862428*x5 + 0.00803802158261731*x6 + 0.0144756766870547*x7 + 0.0228103437449379*x8 + 0.0328625995023637*x9 + 0.0443852293418879*x10 + 0.0570927439209041*x11) =E= 0; e7.. 0.291288553877934*x5 - x18*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e8.. 0.0484024480360498*x5 - x19*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e9.. 0.00357062831862428*x5 - x20*(0.000991323353179483*x4 + 0.00357062831862428*x5 + 0.00803802158261731*x6 + 0.0144756766870547*x7 + 0.0228103437449379*x8 + 0.0328625995023637*x9 + 0.0443852293418879*x10 + 0.0570927439209041*x11) =E= 0; e10.. 9.86662735234163e-5*x5 - x21*(9.86662735234163e-5*x5 + 0.000444274606971685*x6 + 0.00120027485863495*x7 + 0.00252209045740786*x8 + 0.00454243811192095*x9 + 0.00736300486748561*x10 + 0.0110507714931385* x11) =E= 0; e11.. 0.32779432977535*x6 - x22*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e12.. 0.0726327251441325*x6 - x23*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e13.. 0.00803802158261731*x6 - x24*(0.000991323353179483*x4 + 0.00357062831862428*x5 + 0.00803802158261731*x6 + 0.0144756766870547*x7 + 0.0228103437449379*x8 + 0.0328625995023637*x9 + 0.0443852293418879*x10 + 0.0570927439209041*x11) =E= 0; e14.. 0.000444274606971685*x6 - x25*(9.86662735234163e-5*x5 + 0.000444274606971685*x6 + 0.00120027485863495*x7 + 0.00252209045740786*x8 + 0.00454243811192095*x9 + 0.00736300486748561*x10 + 0.0110507714931385* x11) =E= 0; e15.. 9.81135212907916e-6*x6 - x26*(9.81135212907916e-6*x6 + 5.30195849120382e-5*x7 + 0.000167130527644226*x8 + 0.000401394242315761* x9 + 0.000813383733972072*x10 + 0.00146508394320501*x11) =E= 0; e16.. 0.354116263650056*x7 - x27*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e17.. 0.098092330200907*x7 - x28*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e18.. 0.0144756766870547*x7 - x29*(0.000991323353179483*x4 + 0.00357062831862428*x5 + 0.00803802158261731*x6 + 0.0144756766870547*x7 + 0.0228103437449379*x8 + 0.0328625995023637*x9 + 0.0443852293418879*x10 + 0.0570927439209041*x11) =E= 0; e19.. 0.00120027485863495*x7 - x30*(9.86662735234163e-5*x5 + 0.000444274606971685*x6 + 0.00120027485863495*x7 + 0.00252209045740786*x8 + 0.00454243811192095*x9 + 0.00736300486748561*x10 + 0.0110507714931385* x11) =E= 0; e20.. 5.30195849120382e-5*x7 - x31*(9.81135212907916e-6*x6 + 5.30195849120382e-5*x7 + 0.000167130527644226*x8 + 0.000401394242315761* x9 + 0.000813383733972072*x10 + 0.00146508394320501*x11) =E= 0; e21.. 9.74754643739431e-7*x7 - x32*(9.74754643739431e-7*x7 + 6.14600651596926e-6*x8 + 2.21435823677529e-5*x9 + 5.9835540825593e-5*x10 + 0.000134736270615932*x11) =E= 0; e22.. 0.371921288913631*x8 - x33*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e23.. 0.123643056034308*x8 - x34*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e24.. 0.0228103437449379*x8 - x35*(0.000991323353179483*x4 + 0.00357062831862428*x5 + 0.00803802158261731*x6 + 0.0144756766870547*x7 + 0.0228103437449379*x8 + 0.0328625995023637*x9 + 0.0443852293418879*x10 + 0.0570927439209041*x11) =E= 0; e25.. 0.00252209045740786*x8 - x36*(9.86662735234163e-5*x5 + 0.000444274606971685*x6 + 0.00120027485863495*x7 + 0.00252209045740786*x8 + 0.00454243811192095*x9 + 0.00736300486748561*x10 + 0.0110507714931385* x11) =E= 0; e26.. 0.000167130527644226*x8 - x37*(9.81135212907916e-6*x6 + 5.30195849120382e-5*x7 + 0.000167130527644226*x8 + 0.000401394242315761* x9 + 0.000813383733972072*x10 + 0.00146508394320501*x11) =E= 0; e27.. 6.14600651596926e-6*x8 - x38*(9.74754643739431e-7*x7 + 6.14600651596926e-6*x8 + 2.21435823677529e-5*x9 + 5.9835540825593e-5*x10 + 0.000134736270615932*x11) =E= 0; e28.. 9.67537128866831e-8*x8 - x39*(9.67537128866831e-8*x8 + 6.97269627463954e-7*x9 + 2.82651697614227e-6*x10 + 8.48718939888591e-6* x11) =E= 0; e29.. 0.382645442102839*x9 - x40*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e30.. 0.148426108294561*x9 - x41*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e31.. 0.0328625995023637*x9 - x42*(0.000991323353179483*x4 + 0.00357062831862428*x5 + 0.00803802158261731*x6 + 0.0144756766870547*x7 + 0.0228103437449379*x8 + 0.0328625995023637*x9 + 0.0443852293418879*x10 + 0.0570927439209041*x11) =E= 0; e32.. 0.00454243811192095*x9 - x43*(9.86662735234163e-5*x5 + 0.000444274606971685*x6 + 0.00120027485863495*x7 + 0.00252209045740786*x8 + 0.00454243811192095*x9 + 0.00736300486748561*x10 + 0.0110507714931385* x11) =E= 0; e33.. 0.000401394242315761*x9 - x44*(9.81135212907916e-6*x6 + 5.30195849120382e-5*x7 + 0.000167130527644226*x8 + 0.000401394242315761* x9 + 0.000813383733972072*x10 + 0.00146508394320501*x11) =E= 0; e34.. 2.21435823677529e-5*x9 - x45*(9.74754643739431e-7*x7 + 6.14600651596926e-6*x8 + 2.21435823677529e-5*x9 + 5.9835540825593e-5*x10 + 0.000134736270615932*x11) =E= 0; e35.. 6.97269627463954e-7*x9 - x46*(9.67537128866831e-8*x8 + 6.97269627463954e-7*x9 + 2.82651697614227e-6*x10 + 8.48718939888591e-6* x11) =E= 0; e36.. 9.59500945368779e-9*x9 - x47*(9.59500945368779e-9*x9 + 7.77990868613764e-8*x10 + 3.50450195595659e-7*x11) =E= 0; e37.. 0.387523290700504*x10 - x48*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e38.. 0.171811326660768*x10 - x49*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e39.. 0.0443852293418879*x10 - x50*(0.000991323353179483*x4 + 0.00357062831862428*x5 + 0.00803802158261731*x6 + 0.0144756766870547*x7 + 0.0228103437449379*x8 + 0.0328625995023637*x9 + 0.0443852293418879*x10 + 0.0570927439209041*x11) =E= 0; e40.. 0.00736300486748561*x10 - x51*(9.86662735234163e-5*x5 + 0.000444274606971685*x6 + 0.00120027485863495*x7 + 0.00252209045740786*x8 + 0.00454243811192095*x9 + 0.00736300486748561*x10 + 0.0110507714931385* x11) =E= 0; e41.. 0.000813383733972072*x10 - x52*(9.81135212907916e-6*x6 + 5.30195849120382e-5*x7 + 0.000167130527644226*x8 + 0.000401394242315761* x9 + 0.000813383733972072*x10 + 0.00146508394320501*x11) =E= 0; e42.. 5.9835540825593e-5*x10 - x53*(9.74754643739431e-7*x7 + 6.14600651596926e-6*x8 + 2.21435823677529e-5*x9 + 5.9835540825593e-5*x10 + 0.000134736270615932*x11) =E= 0; e43.. 2.82651697614227e-6*x10 - x54*(9.67537128866831e-8*x8 + 6.97269627463954e-7*x9 + 2.82651697614227e-6*x10 + 8.48718939888591e-6* x11) =E= 0; e44.. 7.77990868613764e-8*x10 - x55*(9.59500945368779e-9*x9 + 7.77990868613764e-8*x10 + 3.50450195595659e-7*x11) =E= 0; e45.. 9.5066646909036e-10*x10 - x56*(9.5066646909036e-10*x10 + 8.56560860249376e-9*x11) =E= 0; e46.. 0.387613794254864*x11 - x57*(0.0997999999999999*x2 + 0.179697889788979*x3 + 0.242667639426474*x4 + 0.291288553877934*x5 + 0.32779432977535*x6 + 0.354116263650056*x7 + 0.371921288913631*x8 + 0.382645442102839*x9 + 0.387523290700504*x10 + 0.387613794254864*x11) =E= 0; e47.. 0.193354379355624*x11 - x58*(0.00995105510551053*x3 + 0.0268791952569931* x4 + 0.0484024480360498*x5 + 0.0726327251441325*x6 + 0.098092330200907*x7 + 0.123643056034308*x8 + 0.148426108294561*x9 + 0.171811326660768*x10 + 0.193354379355624*x11) =E= 0; e48.. 0.0570927439209041*x11 - x59*(0.000991323353179483*x4 + 0.00357062831862428*x5 + 0.00803802158261731*x6 + 0.0144756766870547*x7 + 0.0228103437449379*x8 + 0.0328625995023637*x9 + 0.0443852293418879*x10 + 0.0570927439209041*x11) =E= 0; e49.. 0.0110507714931385*x11 - x60*(9.86662735234163e-5*x5 + 0.000444274606971685*x6 + 0.00120027485863495*x7 + 0.00252209045740786*x8 + 0.00454243811192095*x9 + 0.00736300486748561*x10 + 0.0110507714931385* x11) =E= 0; e50.. 0.00146508394320501*x11 - x61*(9.81135212907916e-6*x6 + 5.30195849120382e-5*x7 + 0.000167130527644226*x8 + 0.000401394242315761* x9 + 0.000813383733972072*x10 + 0.00146508394320501*x11) =E= 0; e51.. 0.000134736270615932*x11 - x62*(9.74754643739431e-7*x7 + 6.14600651596926e-6*x8 + 2.21435823677529e-5*x9 + 5.9835540825593e-5*x10 + 0.000134736270615932*x11) =E= 0; e52.. 8.48718939888591e-6*x11 - x63*(9.67537128866831e-8*x8 + 6.97269627463954e-7*x9 + 2.82651697614227e-6*x10 + 8.48718939888591e-6* x11) =E= 0; e53.. 3.50450195595659e-7*x11 - x64*(9.59500945368779e-9*x9 + 7.77990868613764e-8*x10 + 3.50450195595659e-7*x11) =E= 0; e54.. 8.56560860249376e-9*x11 - x65*(9.5066646909036e-10*x10 + 8.56560860249376e-9*x11) =E= 0; e55.. 9.41056088409932e-11*x11 - 9.41056088409932e-11*x66*x11 =E= 0; e56.. 0.0998000000000008*x2 - 449*x12 - x67 + x77 =E= 0; e57.. 0.189648944894492*x3 - 449*x13 - 174*x14 - x68 + x78 =E= 0; e58.. 0.27053815803665*x4 - 449*x15 - 174*x16 - 52*x17 - x69 + x79 =E= 0; e59.. 0.343360296506133*x5 - 449*x18 - 174*x19 - 52*x20 - 10*x21 - x70 + x80 =E= 0; e60.. 0.408919162461202*x6 - 449*x22 - 174*x23 - 52*x24 - 10*x25 - x26 - x71 + x81 =E= 0; e61.. 0.467938539736214*x7 - 449*x27 - 174*x28 - 52*x29 - 10*x30 - x31 - x72 + x82 =E= 0; e62.. 0.52107015243816*x8 - 449*x33 - 174*x34 - 52*x35 - 10*x36 - x37 - x73 + x83 =E= 0; e63.. 0.568900832701015*x9 - 449*x40 - 174*x41 - 52*x42 - 10*x43 - x44 - x74 + x84 =E= 0; e64.. 0.611958976112189*x10 - 449*x48 - 174*x49 - 52*x50 - 10*x51 - x52 - x75 + x85 =E= 0; e65.. 0.650720355537673*x11 - 449*x57 - 174*x58 - 52*x59 - 10*x60 - x61 - 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= 449; e68.. x3 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 =G= 174; e69.. x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 =G= 52; e70.. x5 + x6 + x7 + x8 + x9 + x10 + x11 =G= 10; e71.. x6 + x7 + x8 + x9 + x10 + x11 =G= 1; e72.. x7 + x8 + x9 + x10 + x11 =G= 0; e73.. x8 + x9 + x10 + x11 =G= 0; e74.. x9 + x10 + x11 =G= 0; e75.. x10 + x11 =G= 0; e76.. x11 =G= 0; 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: 2024-12-17 Git hash: 8eaceb91