MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance st_test2
| Formatsⓘ | ams gms lp mod nl osil pip py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -9.25000000 (ALPHAECP) -9.25000000 (ANTIGONE) -9.25000000 (BARON) -9.25000000 (BONMIN) -9.25000000 (COUENNE) -9.25000000 (CPLEX) -9.25000000 (GUROBI) -9.25000000 (LINDO) -9.25000000 (SCIP) -9.25000000 (SHOT) |
| Referencesⓘ | Tawarmalani, M and Sahinidis, N V, Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications, Kluwer, 2002. Shectman, J P, Finite Algorithms for Global Optimization of Concave Programs and General Quadratic Programs, PhD thesis, Department of Mechanical and Industrial Engineering, University of Illinois, Urbana Champagne, 1999. |
| Sourceⓘ | BARON book instance iqp/test2 |
| Added to libraryⓘ | 01 Sep 2002 |
| Problem typeⓘ | IQP |
| #Variablesⓘ | 6 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 6 |
| #Nonlinear Variablesⓘ | 5 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 5 |
| Objective Senseⓘ | min |
| Objective typeⓘ | quadratic |
| Objective curvatureⓘ | convex |
| #Nonzeros in Objectiveⓘ | 6 |
| #Nonlinear Nonzeros in Objectiveⓘ | 5 |
| #Constraintsⓘ | 2 |
| #Linear Constraintsⓘ | 2 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | linear |
| #Nonzeros in Jacobianⓘ | 8 |
| #Nonlinear Nonzeros in Jacobianⓘ | 0 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 5 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 5 |
| #Blocks in Hessian of Lagrangianⓘ | 5 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 1 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 1 |
| Average blocksize in Hessian of Lagrangianⓘ | 1.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 2.5000e-01 |
| Maximal coefficientⓘ | 1.0500e+01 |
| Infeasibility of initial pointⓘ | 0 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 3 1 0 2 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 7 1 0 6 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 15 10 5 0
*
* Solve m using MINLP minimizing objvar;
Variables i1,i2,i3,i4,i5,i6,objvar;
Integer Variables i1,i2,i3,i4,i5,i6;
Equations e1,e2,e3;
e1.. 6*i1 + 3*i2 + 3*i3 + 2*i4 + i5 =L= 6.5;
e2.. 10*i1 + 10*i3 + i6 =L= 20;
e3.. -(0.5*i1*i1 + 10.5*i1 + 0.25*i2*i2 - 7.5*i2 + 1.5*i3*i3 - 3.5*i3 + 0.5*i4*
i4 + 2.5*i4 + 0.5*i5*i5 - 1.5*i5) - 10*i6 + objvar =E= 0;
* set non-default bounds
i1.up = 1;
i2.up = 1;
i3.up = 1;
i4.up = 1;
i5.up = 1;
i6.up = 1E15;
Model m / all /;
m.limrow=0; m.limcol=0;
m.tolproj=0.0;
$if NOT '%gams.u1%' == '' $include '%gams.u1%'
$if not set MINLP $set MINLP MINLP
Solve m using %MINLP% minimizing objvar;
Last updated: 2025-08-07 Git hash: e62cedfc

