MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance cvxnonsep_pcon20
convex MINLP test problem with non-separable power 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ⓘ | -40.59064037 (ALPHAECP) -21.51230126 (ANTIGONE) -21.51230122 (BARON) -21.51230120 (BONMIN) -21.51232173 (COUENNE) -21.51230120 (LINDO) -21.51230120 (SCIP) -21.51230237 (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ⓘ | cvpower sqr |
| 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ⓘ | 9.0000e-02 |
| Maximal coefficientⓘ | 2.0000e+00 |
| 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.. 0.53*i1 + 0.65*i2 + 0.49*i3 + 0.82*i4 + 0.88*i5 + 0.97*i6 + 0.53*i7
+ 0.33*i8 + 0.11*i9 + 0.61*i10 + 0.78*x11 + 0.09*x12 + 0.27*x13
+ 0.15*x14 + 0.28*x15 + 0.44*x16 + 0.53*x17 + 0.46*x18 + 0.88*x19
+ 0.15*x20 + objvar =E= 0;
e2.. sqr(2**(i1 + i2) + 2**(i2 + i3) + 2**(i3 + i4) + 2**(i4 + i5) + 2**(i5 +
i6) + 2**(i6 + i7) + 2**(i7 + i8) + 2**(i8 + i9) + 2**(i9 + i10) + 2**(i10
+ x11) + 2**(x11 + x12) + 2**(x12 + x13) + 2**(x13 + x14) + 2**(x14 + x15
) + 2**(x15 + x16) + 2**(x16 + x17) + 2**(x17 + x18) + 2**(x18 + x19) + 2
**(x19 + x20)) =L= 57600;
* 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

