MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
Home // Instances // Documentation // Download // Statistics
Instance ex5_4_4
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | 10077.77537000 (ANTIGONE) 10077.77539000 (BARON) 10077.77540000 (COUENNE) 10077.77539000 (LINDO) 10077.77540000 (SCIP) 1691.75984800 (SHOT) |
| Referencesⓘ | Floudas, C A, Pardalos, Panos M, Adjiman, C S, Esposito, W R, Gumus, Zeynep H, Harding, S T, Klepeis, John L, Meyer, Clifford A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization, Kluwer Academic Publishers, 1999. Floudas, C A and Ciric, A R, Eds, Proceedings of the Third International Symposium on Process Systems Engineering, 1988. |
| Sourceⓘ | Test Problem ex5.4.4 of Chapter 5 of Floudas e.a. handbook |
| Added to libraryⓘ | 31 Jul 2001 |
| Problem typeⓘ | NLP |
| #Variablesⓘ | 27 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 21 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | nonlinear |
| Objective curvatureⓘ | nonconcave |
| #Nonzeros in Objectiveⓘ | 6 |
| #Nonlinear Nonzeros in Objectiveⓘ | 6 |
| #Constraintsⓘ | 19 |
| #Linear Constraintsⓘ | 13 |
| #Quadratic Constraintsⓘ | 6 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | div mul vcpower |
| Constraints curvatureⓘ | indefinite |
| #Nonzeros in Jacobianⓘ | 69 |
| #Nonlinear Nonzeros in Jacobianⓘ | 27 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 36 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 6 |
| #Blocks in Hessian of Lagrangianⓘ | 6 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 2 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 5 |
| Average blocksize in Hessian of Lagrangianⓘ | 3.5 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 1.6667e-01 |
| Maximal coefficientⓘ | 2.0000e+03 |
| Infeasibility of initial pointⓘ | 2000 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 20 20 0 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 28 28 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 76 43 33 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,objvar;
Positive Variables x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18,x19,x20,x21;
Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19
,e20;
e1.. x7 + x12 + x17 =E= 45;
e2.. x7 - x8 + x14 + x20 =E= 0;
e3.. x9 + x12 - x13 + x19 =E= 0;
e4.. x10 + x15 + x17 - x18 =E= 0;
e5.. - x8 + x9 + x10 + x11 =E= 0;
e6.. - x13 + x14 + x15 + x16 =E= 0;
e7.. - x18 + x19 + x20 + x21 =E= 0;
e8.. x25*x14 + x27*x20 - x22*x8 + 100*x7 =E= 0;
e9.. x23*x9 + x27*x19 - x24*x13 + 100*x12 =E= 0;
e10.. x23*x10 + x25*x15 - x26*x18 + 100*x17 =E= 0;
e11.. x8*x23 - x8*x22 =E= 2000;
e12.. x13*x25 - x13*x24 =E= 1000;
e13.. x18*x27 - x18*x26 =E= 1500;
e14.. x1 + x23 =E= 210;
e15.. x2 + x22 =E= 130;
e16.. x3 + x25 =E= 210;
e17.. x4 + x24 =E= 160;
e18.. x5 + x27 =E= 210;
e19.. x6 + x26 =E= 180;
e20.. -(1300*(2000/(0.333333333333333*x1*x2 + 0.166666666666667*x1 +
0.166666666666667*x2))**0.6 + 1300*(1000/(0.666666666666667*x3*x4 +
0.166666666666667*x3 + 0.166666666666667*x4))**0.6 + 1300*(1500/(
0.666666666666667*x5*x6 + 0.166666666666667*x5 + 0.166666666666667*x6))**
0.6) + objvar =E= 0;
* set non-default bounds
x1.lo = 10; x1.up = 110;
x2.lo = 10; x2.up = 110;
x3.lo = 10; x3.up = 110;
x4.lo = 10; x4.up = 110;
x5.lo = 10; x5.up = 110;
x6.lo = 10; x6.up = 110;
x7.up = 45;
x8.up = 45;
x9.up = 45;
x10.up = 45;
x11.up = 45;
x12.up = 45;
x13.up = 45;
x14.up = 45;
x15.up = 45;
x16.up = 45;
x17.up = 45;
x18.up = 45;
x19.up = 45;
x20.up = 45;
x21.up = 45;
x22.lo = 100; x22.up = 200;
x23.lo = 100; x23.up = 200;
x24.lo = 100; x24.up = 200;
x25.lo = 100; x25.up = 200;
x26.lo = 100; x26.up = 200;
x27.lo = 100; x27.up = 200;
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

