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Instance cvxnonsep_pcon20r
separable reformulation of convex MINLP test problem with non-separable power constraint (cvxnonsep_pcon20) see also problem description (PDF).
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -21.51230120 (ALPHAECP) -21.51230126 (ANTIGONE) -21.51230123 (BARON) -21.51230120 (BONMIN) -21.51230124 (COUENNE) -21.51230120 (LINDO) -21.51230130 (SCIP) -21.51230254 (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ⓘ | 39 |
| #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ⓘ | 20 |
| #Linear Constraintsⓘ | 1 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 19 |
| Operands in Gen. Nonlin. Functionsⓘ | cvpower |
| Constraints curvatureⓘ | convex |
| #Nonzeros in Jacobianⓘ | 76 |
| #Nonlinear Nonzeros in Jacobianⓘ | 38 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 58 |
| #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ⓘ | 1 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 21 1 0 20 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 40 30 0 10 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 97 59 38 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,x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35
,x36,x37,x38,x39,x40;
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,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19
,e20,e21;
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.. x22 + x23 + x24 + x25 + x26 + x27 + x28 + x29 + x30 + x31 + x32 + x33
+ x34 + x35 + x36 + x37 + x38 + x39 + x40 =L= 240;
e3.. 2**(i1 + i2) - x22 =L= 0;
e4.. 2**(i2 + i3) - x23 =L= 0;
e5.. 2**(i3 + i4) - x24 =L= 0;
e6.. 2**(i4 + i5) - x25 =L= 0;
e7.. 2**(i5 + i6) - x26 =L= 0;
e8.. 2**(i6 + i7) - x27 =L= 0;
e9.. 2**(i7 + i8) - x28 =L= 0;
e10.. 2**(i8 + i9) - x29 =L= 0;
e11.. 2**(i9 + i10) - x30 =L= 0;
e12.. 2**(i10 + x11) - x31 =L= 0;
e13.. 2**(x11 + x12) - x32 =L= 0;
e14.. 2**(x12 + x13) - x33 =L= 0;
e15.. 2**(x13 + x14) - x34 =L= 0;
e16.. 2**(x14 + x15) - x35 =L= 0;
e17.. 2**(x15 + x16) - x36 =L= 0;
e18.. 2**(x16 + x17) - x37 =L= 0;
e19.. 2**(x17 + x18) - x38 =L= 0;
e20.. 2**(x18 + x19) - x39 =L= 0;
e21.. 2**(x19 + x20) - x40 =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;
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

