MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
Home // Instances // Documentation // Download // Statistics
Instance hmittelman
Formatsⓘ | ams gms mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | 13.00000000 (ANTIGONE) 13.00000000 (BARON) 13.00000000 (COUENNE) 13.00000000 (LINDO) 13.00000000 (SCIP) 0.00000000 (SHOT) |
Sourceⓘ | MacMINLP model mittelman.mod |
Added to libraryⓘ | 01 May 2001 |
Problem typeⓘ | BNLP |
#Variablesⓘ | 16 |
#Binary Variablesⓘ | 16 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 16 |
#Nonlinear Binary Variablesⓘ | 16 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | polynomial |
Objective curvatureⓘ | indefinite |
#Nonzeros in Objectiveⓘ | 15 |
#Nonlinear Nonzeros in Objectiveⓘ | 15 |
#Constraintsⓘ | 7 |
#Linear Constraintsⓘ | 0 |
#Quadratic Constraintsⓘ | 0 |
#Polynomial Constraintsⓘ | 7 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 107 |
#Nonlinear Nonzeros in Jacobianⓘ | 107 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 110 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
#Blocks in Hessian of Lagrangianⓘ | 1 |
Minimal blocksize in Hessian of Lagrangianⓘ | 16 |
Maximal blocksize in Hessian of Lagrangianⓘ | 16 |
Average blocksize in Hessian of Lagrangianⓘ | 16.0 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 2.0000e+00 |
Maximal coefficientⓘ | 1.5000e+01 |
Infeasibility of initial pointⓘ | 6.343 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 8 1 0 7 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 17 1 16 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 123 1 122 0 * * Solve m using MINLP minimizing objvar; Variables b1,b2,b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,objvar; Binary Variables b1,b2,b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16; Equations e1,e2,e3,e4,e5,e6,e7,e8; e1.. -(10*b5*b7*b9*b10*b14*b15*b16 + 7*b1*b2*b3*b4*b8*b11 + b3*b4*b6*b7*b8 + 12 *b3*b4*b8*b11 + 8*b6*b7*b8*b12 + 3*b6*b7*b9*b14*b16 + b9*b10*b14*b16 + 5* b5*b10*b14*b15*b16 + 3*b1*b2*b11*b12) + objvar =E= 0; e2.. 3*b5*b7*b9*b10*b14*b15*b16 - 12*b1*b2*b3*b4*b8*b11 - 8*b3*b4*b6*b7*b8 + b3 *b4*b8*b11 - 7*b1*b2*b11*b12 + 2*b13*b14*b15*b16 =L= -2; e3.. b1*b2*b3*b4*b8*b11 - 10*b3*b4*b6*b7*b8 - 5*b6*b7*b8*b12 + b6*b7*b9*b14*b16 + 7*b9*b10*b14*b16 + b5*b10*b14*b15*b16 =L= -1; e4.. 5*b5*b7*b9*b10*b14*b15*b16 - 3*b1*b2*b3*b4*b8*b11 - b3*b4*b6*b7*b8 - 2*b5* b10*b14*b15*b16 + b13*b14*b15*b16 =L= -1; e5.. 3*b1*b2*b3*b4*b8*b11 - 5*b5*b7*b9*b10*b14*b15*b16 + b3*b4*b6*b7*b8 + 2*b5* b10*b14*b15*b16 - b13*b14*b15*b16 =L= 1; e6.. (-4*b3*b4*b6*b7*b8) - 2*b3*b4*b8*b11 - 5*b6*b7*b9*b14*b16 + b9*b10*b14*b16 - 9*b5*b10*b14*b15*b16 - 2*b1*b2*b11*b12 =L= -3; e7.. 9*b1*b2*b3*b4*b8*b11 - 12*b3*b4*b8*b11 - 7*b6*b7*b8*b12 + 6*b6*b7*b9*b14* b16 + 2*b5*b10*b14*b15*b16 - 15*b1*b2*b11*b12 + 3*b13*b14*b15*b16 =L= -7; e8.. 5*b1*b2*b3*b4*b8*b11 - 8*b5*b7*b9*b10*b14*b15*b16 + 2*b3*b4*b6*b7*b8 - 7* b3*b4*b8*b11 - b6*b7*b8*b12 - 5*b9*b10*b14*b16 - 10*b1*b2*b11*b12 =L= -1; * set non-default levels b1.l = 0.171747132; b2.l = 0.843266708; b3.l = 0.550375356; b4.l = 0.301137904; b5.l = 0.292212117; b6.l = 0.224052867; b7.l = 0.349830504; b8.l = 0.998117627; b9.l = 0.578733378; b10.l = 0.991133039; b11.l = 0.130692483; b12.l = 0.639718759; b13.l = 0.159517864; b14.l = 0.250080533; b15.l = 0.668928609; b16.l = 0.435356381; 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