MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance cvxnonsep_pcon30r
separable reformulation of convex MINLP test problem with non-separable power constraint (cvxnonsep_pcon30) see also problem description (PDF).
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -35.98690869 (ALPHAECP) -35.98684250 (ANTIGONE) -35.98684234 (BARON) -35.98684230 (BONMIN) -35.98723384 (COUENNE) -35.98684230 (LINDO) -35.98684242 (SCIP) -35.98684451 (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ⓘ | 59 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 15 |
| #Nonlinear Variablesⓘ | 30 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 15 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 30 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 30 |
| #Linear Constraintsⓘ | 1 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 29 |
| Operands in Gen. Nonlin. Functionsⓘ | cvpower |
| Constraints curvatureⓘ | convex |
| #Nonzeros in Jacobianⓘ | 116 |
| #Nonlinear Nonzeros in Jacobianⓘ | 58 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 88 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 30 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 30 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 30 |
| Average blocksize in Hessian of Lagrangianⓘ | 30.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 1.0000e-02 |
| Maximal coefficientⓘ | 2.0000e+00 |
| Infeasibility of initial pointⓘ | 1 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 31 1 0 30 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 60 45 0 15 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 147 89 58 0
*
* Solve m using MINLP minimizing objvar;
Variables i1,i2,i3,i4,i5,i6,i7,i8,i9,i10,i11,i12,i13,i14,i15,x16,x17,x18,x19
,x20,x21,x22,x23,x24,x25,x26,x27,x28,x29,x30,objvar,x32,x33,x34,x35
,x36,x37,x38,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51,x52
,x53,x54,x55,x56,x57,x58,x59,x60;
Positive Variables x16,x17,x18,x19,x20,x21,x22,x23,x24,x25,x26,x27,x28,x29
,x30;
Integer Variables i1,i2,i3,i4,i5,i6,i7,i8,i9,i10,i11,i12,i13,i14,i15;
Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19
,e20,e21,e22,e23,e24,e25,e26,e27,e28,e29,e30,e31;
e1.. 0.52*i1 + 0.94*i2 + 0.64*i3 + 0.96*i4 + 0.24*i5 + 0.68*i6 + 0.29*i7
+ 0.67*i8 + 0.7*i9 + 0.07*i10 + 0.25*i11 + 0.22*i12 + 0.67*i13 + 0.84*i14
+ 0.34*i15 + 0.78*x16 + 0.68*x17 + 0.01*x18 + 0.6*x19 + 0.39*x20
+ 0.92*x21 + 0.1*x22 + 0.46*x23 + 0.77*x24 + 0.32*x25 + 0.78*x26
+ 0.37*x27 + 0.78*x28 + 0.47*x29 + 0.04*x30 + objvar =E= 0;
e2.. x32 + x33 + x34 + x35 + x36 + x37 + x38 + x39 + x40 + x41 + x42 + x43
+ x44 + x45 + x46 + x47 + x48 + x49 + x50 + x51 + x52 + x53 + x54 + x55
+ x56 + x57 + x58 + x59 + x60 =L= 360;
e3.. 2**(i1 + i2) - x32 =L= 0;
e4.. 2**(i2 + i3) - x33 =L= 0;
e5.. 2**(i3 + i4) - x34 =L= 0;
e6.. 2**(i4 + i5) - x35 =L= 0;
e7.. 2**(i5 + i6) - x36 =L= 0;
e8.. 2**(i6 + i7) - x37 =L= 0;
e9.. 2**(i7 + i8) - x38 =L= 0;
e10.. 2**(i8 + i9) - x39 =L= 0;
e11.. 2**(i9 + i10) - x40 =L= 0;
e12.. 2**(i10 + i11) - x41 =L= 0;
e13.. 2**(i11 + i12) - x42 =L= 0;
e14.. 2**(i12 + i13) - x43 =L= 0;
e15.. 2**(i13 + i14) - x44 =L= 0;
e16.. 2**(i14 + i15) - x45 =L= 0;
e17.. 2**(i15 + x16) - x46 =L= 0;
e18.. 2**(x16 + x17) - x47 =L= 0;
e19.. 2**(x17 + x18) - x48 =L= 0;
e20.. 2**(x18 + x19) - x49 =L= 0;
e21.. 2**(x19 + x20) - x50 =L= 0;
e22.. 2**(x20 + x21) - x51 =L= 0;
e23.. 2**(x21 + x22) - x52 =L= 0;
e24.. 2**(x22 + x23) - x53 =L= 0;
e25.. 2**(x23 + x24) - x54 =L= 0;
e26.. 2**(x24 + x25) - x55 =L= 0;
e27.. 2**(x25 + x26) - x56 =L= 0;
e28.. 2**(x26 + x27) - x57 =L= 0;
e29.. 2**(x27 + x28) - x58 =L= 0;
e30.. 2**(x28 + x29) - x59 =L= 0;
e31.. 2**(x29 + x30) - x60 =L= 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;
i11.up = 5;
i12.up = 5;
i13.up = 5;
i14.up = 5;
i15.up = 5;
x16.up = 5;
x17.up = 5;
x18.up = 5;
x19.up = 5;
x20.up = 5;
x21.up = 5;
x22.up = 5;
x23.up = 5;
x24.up = 5;
x25.up = 5;
x26.up = 5;
x27.up = 5;
x28.up = 5;
x29.up = 5;
x30.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

