MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance cvxnonsep_psig20r
separable reformulation of convex MINLP test problem with non-separable signomial objective function (cvxnonsep_psig20) see also problem description (PDF).
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | 95.88916941 (ALPHAECP) 95.89738726 (ANTIGONE) 95.89738726 (BARON) 95.89738736 (BONMIN) 95.89492279 (COUENNE) 95.89738736 (LINDO) 95.89732016 (SCIP) 95.89080128 (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ⓘ | 42 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 10 |
| #Nonlinear Variablesⓘ | 21 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 10 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 21 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 22 |
| #Linear Constraintsⓘ | 1 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 21 |
| Operands in Gen. Nonlin. Functionsⓘ | log |
| Constraints curvatureⓘ | convex |
| #Nonzeros in Jacobianⓘ | 63 |
| #Nonlinear Nonzeros in Jacobianⓘ | 21 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 21 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 21 |
| #Blocks in Hessian of Lagrangianⓘ | 21 |
| 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ⓘ | 2.2000e-02 |
| Maximal coefficientⓘ | 2.0000e+04 |
| Infeasibility of initial pointⓘ | 18.42 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 23 1 0 22 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 43 33 0 10 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 85 64 21 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,x21,x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35,x36
,x37,x38,x39,x40,x41,x42,objvar;
Negative Variables x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35
,x36,x37,x38,x39,x40,x41;
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,e22,e23;
e1.. i1 + i2 + i3 + i4 + i5 + i6 + i7 + i8 + i9 + i10 + x11 + x12 + x13
+ x14 + x15 + x16 + x17 + x18 + x19 + x20 + 20000*x21 - objvar =E= 0;
e2.. x22 + x23 + x24 + x25 + x26 + x27 + x28 + x29 + x30 + x31 + x32 + x33
+ x34 + x35 + x36 + x37 + x38 + x39 + x40 + x41 + x42 =L= 0;
e3.. -0.32*log(i1) - x22 =L= 0;
e4.. -0.19*log(i2) - x23 =L= 0;
e5.. -0.405*log(i3) - x24 =L= 0;
e6.. -0.265*log(i4) - x25 =L= 0;
e7.. -0.175*log(i5) - x26 =L= 0;
e8.. -0.44*log(i6) - x27 =L= 0;
e9.. -0.275*log(i7) - x28 =L= 0;
e10.. -0.47*log(i8) - x29 =L= 0;
e11.. -0.31*log(i9) - x30 =L= 0;
e12.. -0.295*log(i10) - x31 =L= 0;
e13.. -0.105*log(x11) - x32 =L= 0;
e14.. -0.15*log(x12) - x33 =L= 0;
e15.. -0.235*log(x13) - x34 =L= 0;
e16.. -0.115*log(x14) - x35 =L= 0;
e17.. -0.42*log(x15) - x36 =L= 0;
e18.. -0.095*log(x16) - x37 =L= 0;
e19.. -0.115*log(x17) - x38 =L= 0;
e20.. -0.085*log(x18) - x39 =L= 0;
e21.. -0.115*log(x19) - x40 =L= 0;
e22.. -0.022*log(x20) - x41 =L= 0;
e23.. -log(x21) - x42 =L= 0;
* set non-default bounds
i1.lo = 1; i1.up = 10;
i2.lo = 1; i2.up = 10;
i3.lo = 1; i3.up = 10;
i4.lo = 1; i4.up = 10;
i5.lo = 1; i5.up = 10;
i6.lo = 1; i6.up = 10;
i7.lo = 1; i7.up = 10;
i8.lo = 1; i8.up = 10;
i9.lo = 1; i9.up = 10;
i10.lo = 1; i10.up = 10;
x11.lo = 1; x11.up = 10;
x12.lo = 1; x12.up = 10;
x13.lo = 1; x13.up = 10;
x14.lo = 1; x14.up = 10;
x15.lo = 1; x15.up = 10;
x16.lo = 1; x16.up = 10;
x17.lo = 1; x17.up = 10;
x18.lo = 1; x18.up = 10;
x19.lo = 1; x19.up = 10;
x20.lo = 1; x20.up = 10;
x21.lo = 1E-8;
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

