MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance ex7_3_2
Formatsⓘ | ams gms mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | 1.08986397 (ANTIGONE) 1.08986397 (BARON) 1.08986397 (COUENNE) 1.08986397 (LINDO) 1.08986391 (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. Sideris, A and Sanchez, Fast Computation of the Multivariable Stability Margin for Real Interrelated Uncertain Parameters, IEEE Transactions on Automatic Control, 34:12, 1989, 1272-1276. |
Sourceⓘ | Test Problem ex7.3.2 of Chapter 7 of Floudas e.a. handbook |
Added to libraryⓘ | 31 Jul 2001 |
Problem typeⓘ | NLP |
#Variablesⓘ | 4 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 3 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | linear |
Objective curvatureⓘ | linear |
#Nonzeros in Objectiveⓘ | 1 |
#Nonlinear Nonzeros in Objectiveⓘ | 0 |
#Constraintsⓘ | 7 |
#Linear Constraintsⓘ | 6 |
#Quadratic Constraintsⓘ | 0 |
#Polynomial Constraintsⓘ | 1 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 15 |
#Nonlinear Nonzeros in Jacobianⓘ | 3 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 6 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 2 |
#Blocks in Hessian of Lagrangianⓘ | 1 |
Minimal blocksize in Hessian of Lagrangianⓘ | 3 |
Maximal blocksize in Hessian of Lagrangianⓘ | 3 |
Average blocksize in Hessian of Lagrangianⓘ | 3.0 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 2.0000e-01 |
Maximal coefficientⓘ | 4.0000e+00 |
Infeasibility of initial pointⓘ | 1.5 |
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 * 5 5 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 17 14 3 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,x4,objvar; Equations e1,e2,e3,e4,e5,e6,e7,e8; e1.. - x4 + objvar =E= 0; e2.. POWER(x1,4)*POWER(x2,4) - POWER(x1,4) - POWER(x2,4)*x3 =L= 0; e3.. - x1 - 0.25*x4 =L= -1.4; e4.. x1 - 0.25*x4 =L= 1.4; e5.. - x2 - 0.2*x4 =L= -1.5; e6.. x2 - 0.2*x4 =L= 1.5; e7.. - x3 - 0.2*x4 =L= -0.8; e8.. x3 - 0.2*x4 =L= 0.8; 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