MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance cvxnonsep_normcon20
convex MINLP test problem with non-separable 2-norm constraint see also problem description (PDF).
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -22.04638456 (ALPHAECP) -21.74914753 (ANTIGONE) -21.74914739 (BARON) -21.74914737 (BONMIN) -21.74929141 (COUENNE) -21.74914736 (LINDO) -21.74914831 (SCIP) -21.76824676 (SHOT) |
| Referencesⓘ | Kronqvist, Jan, Lundell, Andreas, and Westerlund, Tapio, Reformulations for utilizing separability when solving convex MINLP problems, submitted, 2017. |
| Applicationⓘ | Test Problem |
| Added to libraryⓘ | 11 Sep 2017 |
| Problem typeⓘ | MINLP |
| #Variablesⓘ | 20 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 10 |
| #Nonlinear Variablesⓘ | 20 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 10 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 20 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 1 |
| #Linear Constraintsⓘ | 0 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 1 |
| Operands in Gen. Nonlin. Functionsⓘ | sqr sqrt |
| Constraints curvatureⓘ | convex |
| #Nonzeros in Jacobianⓘ | 20 |
| #Nonlinear Nonzeros in Jacobianⓘ | 20 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 400 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 20 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 20 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 20 |
| Average blocksize in Hessian of Lagrangianⓘ | 20.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 1.0000e-04 |
| Maximal coefficientⓘ | 9.8500e-01 |
| Infeasibility of initial pointⓘ | 0 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 2 1 0 1 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 21 11 0 10 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 41 21 20 0
*
* Solve m using MINLP minimizing objvar;
Variables i1,i2,i3,i4,i5,i6,i7,i8,i9,i10,x11,x12,x13,x14,x15,x16,x17,x18,x19
,x20,objvar;
Positive Variables x11,x12,x13,x14,x15,x16,x17,x18,x19,x20;
Integer Variables i1,i2,i3,i4,i5,i6,i7,i8,i9,i10;
Equations e1,e2;
e1.. sqrt(0.0001 + sqr(i1) + sqr(i2) + sqr(i3) + sqr(i4) + sqr(i5) + sqr(i6) +
sqr(i7) + sqr(i8) + sqr(i9) + sqr(i10) + sqr(x11) + sqr(x12) + sqr(x13) +
sqr(x14) + sqr(x15) + sqr(x16) + sqr(x17) + sqr(x18) + sqr(x19) + sqr(x20)
) =L= 10;
e2.. - 0.175*i1 - 0.39*i2 - 0.83*i3 - 0.805*i4 - 0.06*i5 - 0.4*i6 - 0.52*i7
- 0.415*i8 - 0.655*i9 - 0.63*i10 - 0.29*x11 - 0.43*x12 - 0.015*x13
- 0.985*x14 - 0.165*x15 - 0.105*x16 - 0.37*x17 - 0.2*x18 - 0.49*x19
- 0.34*x20 - objvar =E= 0;
* set non-default bounds
i1.up = 5;
i2.up = 5;
i3.up = 5;
i4.up = 5;
i5.up = 5;
i6.up = 5;
i7.up = 5;
i8.up = 5;
i9.up = 5;
i10.up = 5;
x11.up = 5;
x12.up = 5;
x13.up = 5;
x14.up = 5;
x15.up = 5;
x16.up = 5;
x17.up = 5;
x18.up = 5;
x19.up = 5;
x20.up = 5;
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

