MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance st_e34
| Formatsⓘ | ams gms lp mod nl osil pip py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | 0.01561952 (ANTIGONE) 0.01561953 (BARON) 0.01561953 (COUENNE) 0.01561953 (GUROBI) 0.01561952 (LINDO) 0.01561953 (SCIP) |
| Referencesⓘ | Hock, W and Schittkowski, K, Test Examples for Nonlinear Programming Codes, Springer Verlag, 1981. Tawarmalani, M and Sahinidis, N V, Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications, Kluwer, 2002. |
| Sourceⓘ | BARON book instance misc/e34 |
| Added to libraryⓘ | 03 Sep 2002 |
| Problem typeⓘ | QCP |
| #Variablesⓘ | 6 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 5 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 6 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 4 |
| #Linear Constraintsⓘ | 0 |
| #Quadratic Constraintsⓘ | 4 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | indefinite |
| #Nonzeros in Jacobianⓘ | 20 |
| #Nonlinear Nonzeros in Jacobianⓘ | 14 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 12 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 5 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 5 |
| Average blocksize in Hessian of Lagrangianⓘ | 5.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 4.3000e+00 |
| Maximal coefficientⓘ | 2.6000e+04 |
| Infeasibility of initial pointⓘ | 4.97 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 5 1 4 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 7 7 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 27 13 14 0
*
* Solve m using NLP minimizing objvar;
Variables x1,x2,x3,x4,x5,x6,objvar;
Positive Variables x1,x2,x3,x4,x5,x6;
Equations e1,e2,e3,e4,e5;
e1.. 17.1*x1 - 169*x1*x3 + 204.2*x3 - 3580*x3*x5 + 623.4*x5 - 3810*x4*x6 +
212.3*x4 + 1495.5*x6 - 18500*x4*x6 + 38.2*x2 =G= 4.97;
e2.. 17.9*x1 - 139*x1*x3 + 113.9*x3 - 2450*x4*x5 + 169.7*x4 + 337.8*x5 - 16600*
x4*x6 + 1385.2*x6 - 17200*x5*x6 + 36.8*x2 =G= -1.88;
e3.. 26000*x4*x5 - 70*x4 - 819*x5 - 273*x2 =G= -69.08;
e4.. 159.9*x1 - 14000*x1*x6 + 2198*x6 - 311*x2 + 587*x4 + 391*x5 =G= -118.02;
e5.. - 4.3*x1 - 31.8*x2 - 63.3*x3 - 15.8*x4 - 68.5*x5 - 4.7*x6 + objvar =E= 0;
* set non-default bounds
x1.up = 0.31;
x2.up = 0.046;
x3.up = 0.068;
x4.up = 0.042;
x5.up = 0.028;
x6.up = 0.0134;
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

