MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance ex9_1_4
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -37.00000004 (ANTIGONE) -37.00000000 (BARON) -37.00000000 (COUENNE) -37.00000000 (GUROBI) -37.00000000 (LINDO) -37.00000000 (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. Clark, P A and Westerberg, A W, A Note on the Optimality Conditions for the Bilevel Programming Problem, Naval Research Logistics, 35, 1988, 413-418. |
Sourceⓘ | Test Problem ex9.1.4 of Chapter 9 of Floudas e.a. handbook |
Added to libraryⓘ | 31 Jul 2001 |
Problem typeⓘ | QCP |
#Variablesⓘ | 10 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 8 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | linear |
Objective curvatureⓘ | linear |
#Nonzeros in Objectiveⓘ | 2 |
#Nonlinear Nonzeros in Objectiveⓘ | 0 |
#Constraintsⓘ | 9 |
#Linear Constraintsⓘ | 5 |
#Quadratic Constraintsⓘ | 4 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 23 |
#Nonlinear Nonzeros in Jacobianⓘ | 8 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 8 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
#Blocks in Hessian of Lagrangianⓘ | 4 |
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ⓘ | 5.0000e+00 |
Infeasibility of initial pointⓘ | 108 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 10 10 0 0 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 11 11 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 26 18 8 0 * * Solve m using NLP minimizing objvar; Variables objvar,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11; Positive Variables x2,x3,x4,x5,x6,x7,x8,x9,x10,x11; Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10; e1.. - objvar + x2 - 4*x3 =E= 0; e2.. - 2*x2 + x3 + x4 =E= 0; e3.. 2*x2 + 5*x3 + x5 =E= 108; e4.. 2*x2 - 3*x3 + x6 =E= -4; e5.. - x3 + x7 =E= 0; e6.. x8*x4 =E= 0; e7.. x9*x5 =E= 0; e8.. x10*x6 =E= 0; e9.. x11*x7 =E= 0; e10.. x8 + 5*x9 - 3*x10 - x11 =E= -1; * set non-default bounds x4.up = 200; x5.up = 200; x6.up = 200; x7.up = 200; x8.up = 200; x9.up = 200; x10.up = 200; x11.up = 200; 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: 2024-08-26 Git hash: 6cc1607f