MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance cvxnonsep_normcon20
convex MINLP test problem with non-separable 2-norm constraint see also problem description (PDF).
Formatsⓘ | ams gms mod nl osil py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -22.04638456 (ALPHAECP) -21.74914753 (ANTIGONE) -21.74914739 (BARON) -21.74914737 (BONMIN) -21.74929141 (COUENNE) -21.74914736 (LINDO) -21.74914831 (SCIP) -21.76824676 (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ⓘ | 0 |
#General Nonlinear Constraintsⓘ | 1 |
Operands in Gen. Nonlin. Functionsⓘ | sqr sqrt |
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ⓘ | 1.0000e-04 |
Maximal coefficientⓘ | 9.8500e-01 |
Infeasibility of initial pointⓘ | 0 |
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; 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; e1.. sqrt(0.0001 + sqr(i1) + sqr(i2) + sqr(i3) + sqr(i4) + sqr(i5) + sqr(i6) + sqr(i7) + sqr(i8) + sqr(i9) + sqr(i10) + sqr(x11) + sqr(x12) + sqr(x13) + sqr(x14) + sqr(x15) + sqr(x16) + sqr(x17) + sqr(x18) + sqr(x19) + sqr(x20) ) =L= 10; e2.. - 0.175*i1 - 0.39*i2 - 0.83*i3 - 0.805*i4 - 0.06*i5 - 0.4*i6 - 0.52*i7 - 0.415*i8 - 0.655*i9 - 0.63*i10 - 0.29*x11 - 0.43*x12 - 0.015*x13 - 0.985*x14 - 0.165*x15 - 0.105*x16 - 0.37*x17 - 0.2*x18 - 0.49*x19 - 0.34*x20 - objvar =E= 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: 2024-08-26 Git hash: 6cc1607f