MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance cvxnonsep_nsig20
convex MINLP test problem with non-separable signomial constraint function see also problem description (PDF).
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | 80.93271244 (ALPHAECP) 80.88102602 (ANTIGONE) 80.94929538 (BARON) 80.94929545 (BONMIN) 80.94929545 (LINDO) 80.94929161 (SCIP) 80.94908465 (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ⓘ | 1 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| 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ⓘ | 3.0000e-03 |
| Maximal coefficientⓘ | 1.9200e+00 |
| Infeasibility of initial pointⓘ | 0.9985 |
| 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;
Integer Variables i1,i2,i3,i4,i5,i6,i7,i8,i9,i10;
Equations e1,e2;
e1.. 1.5*i1 + 0.51*i2 + 1.01*i3 + 1.4*i4 + 1.78*i5 + 1.92*i6 + 1.09*i7
+ 0.48*i8 + 0.67*i9 + 0.52*i10 + 1.68*x11 + 0.51*x12 + 1.63*x13
+ 0.49*x14 + 1.86*x15 + 0.7*x16 + 0.39*x17 + 0.5*x18 + 1.23*x19
+ 0.95*x20 - objvar =E= 0;
e2.. -0.2*i1**0.065*i2**0.004*i3**0.084*i4**0.093*i5**0.06*i6**0.075*i7**0.074*
i8**0.039*i9**0.065*i10**0.017*x11**0.07*x12**0.03*x13**0.028*x14**0.005*
x15**0.01*x16**0.082*x17**0.069*x18**0.032*x19**0.095*x20**0.003 =L= -1;
* 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 = 1E-5; x11.up = 10;
x12.lo = 1E-5; x12.up = 10;
x13.lo = 1E-5; x13.up = 10;
x14.lo = 1E-5; x14.up = 10;
x15.lo = 1E-5; x15.up = 10;
x16.lo = 1E-5; x16.up = 10;
x17.lo = 1E-5; x17.up = 10;
x18.lo = 1E-5; x18.up = 10;
x19.lo = 1E-5; x19.up = 10;
x20.lo = 1E-5; x20.up = 10;
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

