MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance ex6_2_6
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -0.00001850 (ANTIGONE) -0.00000260 (BARON) -0.00008993 (COUENNE) -0.00000359 (GUROBI) -0.00000260 (LINDO) -0.00000350 (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. McDonald, C M and Floudas, C A, Global Optimization for the Phase Stability Problem, AIChE Journal, 41:7, 1995, 1798-1814. |
| Sourceⓘ | Test Problem ex6.2.6 of Chapter 6 of Floudas e.a. handbook |
| Added to libraryⓘ | 31 Jul 2001 |
| Problem typeⓘ | NLP |
| #Variablesⓘ | 3 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 3 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | nonlinear |
| Objective curvatureⓘ | indefinite |
| #Nonzeros in Objectiveⓘ | 3 |
| #Nonlinear Nonzeros in Objectiveⓘ | 3 |
| #Constraintsⓘ | 1 |
| #Linear Constraintsⓘ | 1 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | log mul |
| Constraints curvatureⓘ | linear |
| #Nonzeros in Jacobianⓘ | 3 |
| #Nonlinear Nonzeros in Jacobianⓘ | 0 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 9 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 3 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 3 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 3 |
| Average blocksize in Hessian of Lagrangianⓘ | 3.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 7.2992e-03 |
| Maximal coefficientⓘ | 4.7512e+01 |
| Infeasibility of initial pointⓘ | 0 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 2 2 0 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 4 4 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 7 4 3 0
*
* Solve m using NLP minimizing objvar;
Variables objvar,x2,x3,x4;
Equations e1,e2;
e1.. -(log(3.9235*x2 + 6.0909*x3 + 0.92*x4)*(26.9071667605344*x2 +
41.7710875549227*x3 + 6.30931398488382*x4) + 0.668686155614739*x2 -
1.14374230885457*x3 + 2.8906196099828*x4 + 9.58716676053442*log(x2)*x2 +
16.9310875549227*log(x3)*x3 + 0.309313984883821*log(x4)*x4 -
9.58716676053442*log(3.9235*x2 + 6.0909*x3 + 0.92*x4)*x2 -
16.9310875549227*log(3.9235*x2 + 6.0909*x3 + 0.92*x4)*x3 -
0.309313984883821*log(3.9235*x2 + 6.0909*x3 + 0.92*x4)*x4 + 18.32*log(x2)*
x2 + 25.84*log(x3)*x3 + 7*log(x4)*x4 - 18.32*log(3.664*x2 + 5.168*x3 + 1.4
*x4)*x2 - 25.84*log(3.664*x2 + 5.168*x3 + 1.4*x4)*x3 - 7*log(3.664*x2 +
5.168*x3 + 1.4*x4)*x4 + log(4.0643*x2 + 5.7409*x3 + 1.6741*x4)*(4.0643*x2
+ 5.7409*x3 + 1.6741*x4) + 4.0643*log(x2)*x2 + 5.7409*log(x3)*x3 + 1.6741
*log(x4)*x4 - 4.0643*log(4.0643*x2 + 3.22644664511275*x3 +
1.44980651607875*x4)*x2 - 5.7409*log(5.31147575751424*x2 + 5.7409*x3 +
0.00729924451284409*x4)*x3 - 1.6741*log(2.25846661774355*x2 +
3.70876916588753*x3 + 1.6741*x4)*x4 - 30.9714667605344*log(x2)*x2 -
47.5119875549227*log(x3)*x3 - 7.98341398488382*log(x4)*x4) + objvar =E= 0;
e2.. x2 + x3 + x4 =E= 1;
* set non-default bounds
x2.lo = 1E-6; x2.up = 1;
x3.lo = 1E-6; x3.up = 1;
x4.lo = 1E-6; x4.up = 1;
* set non-default levels
x2.l = 0.51802;
x3.l = 0.0511;
x4.l = 0.43088;
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

