MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
Home // Instances // Documentation // Download // Statistics
Instance ex14_2_8
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -0.00000000 (ANTIGONE) -0.00000000 (BARON) 0.00000000 (COUENNE) 0.00000000 (LINDO) 0.00000000 (SCIP) |
| 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. |
| Sourceⓘ | Test Problem ex14.2.8 of Chapter 14 of Floudas e.a. handbook |
| Added to libraryⓘ | 31 Jul 2001 |
| Problem typeⓘ | NLP |
| #Variablesⓘ | 4 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 3 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 1 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 5 |
| #Linear Constraintsⓘ | 1 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 4 |
| Operands in Gen. Nonlin. Functionsⓘ | div log |
| Constraints curvatureⓘ | indefinite |
| #Nonzeros in Jacobianⓘ | 18 |
| #Nonlinear Nonzeros in Jacobianⓘ | 12 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 5 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 3 |
| #Blocks in Hessian of Lagrangianⓘ | 2 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 1 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 2 |
| Average blocksize in Hessian of Lagrangianⓘ | 1.5 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 2.1679e-02 |
| Maximal coefficientⓘ | 2.7875e+03 |
| Infeasibility of initial pointⓘ | 3.997e-05 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 6 2 0 4 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 5 5 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 20 8 12 0
*
* Solve m using NLP minimizing objvar;
Variables x1,x2,x3,objvar,x5;
Positive Variables x5;
Equations e1,e2,e3,e4,e5,e6;
e1.. objvar - x5 =E= 0;
e2.. 10.68*log(2.5735*x1 + 4.0464*x2) - 9.344*log(2.336*x1 + 3.24*x2) - (
2.5364416*x2 - 0.993370999999997*x1)/(2.5735*x1 + 4.0464*x2) - (1.696*log(
1.69610217540928*x1 + 3.24*x2) + 0.64*log(0.657731453039811*x1 +
0.0338737664203932*x2)) - (2.87658928949414*x1/(1.69610217540928*x1 + 3.24
*x2) + 5.49537104832607*x2/(1.69610217540928*x1 + 3.24*x2) +
0.420948129945479*x1/(0.657731453039811*x1 + 0.0338737664203932*x2)) -
2787.49800065313/(229.664 + x3) - x5 =L= -10.164795069335;
e3.. 15.2*log(2.5735*x1 + 4.0464*x2) - 12.96*log(2.336*x1 + 3.24*x2) - (
3.98813184*x2 - 1.5619104*x1)/(2.5735*x1 + 4.0464*x2) - 3.24*log(
1.69610217540928*x1 + 3.24*x2) - (5.49504*x1/(1.69610217540928*x1 + 3.24*
x2) + 10.4976*x2/(1.69610217540928*x1 + 3.24*x2) + 0.0216792105090516*x1/(
0.657731453039811*x1 + 0.0338737664203932*x2)) - 2766.63/(222.65 + x3)
- x5 =L= -11.1422900361581;
e4.. 9.344*log(2.336*x1 + 3.24*x2) - 10.68*log(2.5735*x1 + 4.0464*x2) + (
2.5364416*x2 - 0.993370999999997*x1)/(2.5735*x1 + 4.0464*x2) + 1.696*log(
1.69610217540928*x1 + 3.24*x2) + 0.64*log(0.657731453039811*x1 +
0.0338737664203932*x2) + 2.87658928949414*x1/(1.69610217540928*x1 + 3.24*
x2) + 5.49537104832607*x2/(1.69610217540928*x1 + 3.24*x2) +
0.420948129945479*x1/(0.657731453039811*x1 + 0.0338737664203932*x2) +
2787.49800065313/(229.664 + x3) - x5 =L= 10.164795069335;
e5.. 12.96*log(2.336*x1 + 3.24*x2) - 15.2*log(2.5735*x1 + 4.0464*x2) + (
3.98813184*x2 - 1.5619104*x1)/(2.5735*x1 + 4.0464*x2) + 3.24*log(
1.69610217540928*x1 + 3.24*x2) + 5.49504*x1/(1.69610217540928*x1 + 3.24*x2
) + 10.4976*x2/(1.69610217540928*x1 + 3.24*x2) + 0.0216792105090516*x1/(
0.657731453039811*x1 + 0.0338737664203932*x2) + 2766.63/(222.65 + x3) - x5
=L= 11.1422900361581;
e6.. x1 + x2 =E= 1;
* set non-default bounds
x1.lo = 1E-6; x1.up = 1;
x2.lo = 1E-6; x2.up = 1;
x3.lo = 40; x3.up = 90;
* set non-default levels
x1.l = 0.878;
x2.l = 0.122;
x3.l = 55.726;
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

