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Instance ex9_2_8

Formatsⓘ ams gms lp mod nl osil pip py
Primal Bounds (infeas ≤ 1e-08)ⓘ
1.5 p1 ( gdx sol )
(infeas: 0)
Other points (infeas > 1e-08)ⓘ  
Dual Boundsⓘ
1.5 (ANTIGONE)
1.5 (BARON)
1.5 (COUENNE)
1.5 (LINDO)
1.5 (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.
Yezza, A, First-Order Necessary Optimality Conditions for General Bilevel Programming Problems, Journal of Optimization Theory and Applications, 89:1, 1996, 189-219.
Sourceⓘ Test Problem ex9.2.8 of Chapter 9 of Floudas e.a. handbook
Added to libraryⓘ 31 Jul 2001
Problem typeⓘ QCQP
#Variablesⓘ 6
#Binary Variablesⓘ 0
#Integer Variablesⓘ 0
#Nonlinear Variablesⓘ 6
#Nonlinear Binary Variablesⓘ 0
#Nonlinear Integer Variablesⓘ 0
Objective Senseⓘ min
Objective typeⓘ quadratic
Objective curvatureⓘ indefinite
#Nonzeros in Objectiveⓘ 2
#Nonlinear Nonzeros in Objectiveⓘ 2
#Constraintsⓘ 5
#Linear Constraintsⓘ 3
#Quadratic Constraintsⓘ 2
#Polynomial Constraintsⓘ 0
#Signomial Constraintsⓘ 0
#General Nonlinear Constraintsⓘ 0
Operands in Gen. Nonlin. Functionsⓘ  
Constraints curvatureⓘ indefinite
#Nonzeros in Jacobianⓘ 11
#Nonlinear Nonzeros in Jacobianⓘ 4
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ 6
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ 0
#Blocks in Hessian of Lagrangianⓘ 3
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ⓘ 4.0000e+00
Infeasibility of initial pointⓘ 1
Sparsity Jacobianⓘ Sparsity of Objective Gradient and Jacobian
Sparsity Hessian of Lagrangianⓘ Sparsity of Hessian of Lagrangian

$offlisting
*  
*  Equation counts
*      Total        E        G        L        N        X        C        B
*          6        6        0        0        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*          7        7        0        0        0        0        0        0
*  FX      2
*  
*  Nonzero counts
*      Total    const       NL      DLL
*         14        8        6        0
*
*  Solve m using NLP minimizing objvar;


Variables  objvar,x2,x3,x4,x5,x6,x7;

Positive Variables  x2,x3,x4,x5;

Equations  e1,e2,e3,e4,e5,e6;


e1.. 3*x3 - 4*x2*x3 + 2*x2 - objvar =E= -1;

e2..  - x3 + x4 =E= 0;

e3..    x3 + x5 =E= 1;

e4.. x6*x4 =E= 0;

e5.. x7*x5 =E= 0;

e6..    4*x2 - x6 + x7 =E= 1;

* set non-default bounds
x2.up = 1;
x4.up = 20;
x5.up = 20;
x6.fx = 0;
x7.fx = 0;

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;


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