MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
Home // Instances // Documentation // Download // Statistics
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: 2024-12-17 Git hash: 8eaceb91