MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
Home // Instances // Documentation // Download // Statistics
Instance ex9_1_5
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -1.00000000 (ANTIGONE) -1.00000000 (BARON) -1.00000000 (COUENNE) -1.00000000 (GUROBI) -1.00000000 (LINDO) -1.00000000 (SCIP) |
Referencesⓘ | Floudas, C A, Pardalos, Panos M, Adjiman, C S, Esposito, W R, Gumus, Zeynep H, Harding, S T, Klepeis, John L, Meyer, Clifford A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization, Kluwer Academic Publishers, 1999. Bard, J F, Some Properties of the Bilevel Programming Problem, Journal of Optimization Theory and Applications, 68:2, 1991, 371-378. |
Sourceⓘ | Test Problem ex9.1.5 of Chapter 9 of Floudas e.a. handbook |
Added to libraryⓘ | 31 Jul 2001 |
Problem typeⓘ | QCP |
#Variablesⓘ | 13 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 10 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | linear |
Objective curvatureⓘ | linear |
#Nonzeros in Objectiveⓘ | 3 |
#Nonlinear Nonzeros in Objectiveⓘ | 0 |
#Constraintsⓘ | 12 |
#Linear Constraintsⓘ | 7 |
#Quadratic Constraintsⓘ | 5 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 29 |
#Nonlinear Nonzeros in Jacobianⓘ | 10 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 10 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
#Blocks in Hessian of Lagrangianⓘ | 5 |
Minimal blocksize in Hessian of Lagrangianⓘ | 2 |
Maximal blocksize in Hessian of Lagrangianⓘ | 2 |
Average blocksize in Hessian of Lagrangianⓘ | 2.0 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 1.0000e+00 |
Maximal coefficientⓘ | 1.0000e+01 |
Infeasibility of initial pointⓘ | 1 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 13 13 0 0 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 14 14 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 33 23 10 0 * * Solve m using NLP minimizing objvar; Variables objvar,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14; Positive Variables x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14; Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13; e1.. - objvar - x2 + 10*x3 - x4 =E= 0; e2.. x2 + x3 + x5 =E= 1; e3.. x2 + x4 + x6 =E= 1; e4.. x3 + x4 + x7 =E= 1; e5.. - x3 + x8 =E= 0; e6.. - x4 + x9 =E= 0; e7.. x10*x5 =E= 0; e8.. x11*x6 =E= 0; e9.. x12*x7 =E= 0; e10.. x13*x8 =E= 0; e11.. x14*x9 =E= 0; e12.. x10 + x12 - x13 =E= 1; e13.. x11 + x12 - x14 =E= 1; Model m / all /; m.limrow=0; m.limcol=0; m.tolproj=0.0; $if NOT '%gams.u1%' == '' $include '%gams.u1%' $if not set NLP $set NLP NLP Solve m using %NLP% minimizing objvar;
Last updated: 2024-12-17 Git hash: 8eaceb91