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Instance oaer

Formats ams gms mod nl osil py
Primal Bounds (infeas ≤ 1e-08)
-1.92309851 p1 ( gdx sol )
(infeas: 3e-15)
Other points (infeas > 1e-08)  
Dual Bounds
-1.92309929 (ANTIGONE)
-1.92309852 (BARON)
-1.92309851 (COUENNE)
-1.92310000 (LINDO)
-1.92309852 (SCIP)
-1.92309902 (SHOT)
References Floudas, C A, Nonlinear and Mixed Integer Optimization: Fundamentals and Applications, Oxford University Press, 1995.
Source MINOPT Model Library model oaer_test.dat
Added to library 01 May 2001
Problem type MBNLP
#Variables 9
#Binary Variables 3
#Integer Variables 0
#Nonlinear Variables 2
#Nonlinear Binary Variables 0
#Nonlinear Integer Variables 0
Objective Sense min
Objective type linear
Objective curvature linear
#Nonzeros in Objective 9
#Nonlinear Nonzeros in Objective 0
#Constraints 7
#Linear Constraints 5
#Quadratic Constraints 0
#Polynomial Constraints 0
#Signomial Constraints 0
#General Nonlinear Constraints 2
Operands in Gen. Nonlin. Functions log
Constraints curvature indefinite
#Nonzeros in Jacobian 16
#Nonlinear Nonzeros in Jacobian 2
#Nonzeros in (Upper-Left) Hessian of Lagrangian 2
#Nonzeros in Diagonal of Hessian of Lagrangian 2
#Blocks in Hessian of Lagrangian 2
Minimal blocksize in Hessian of Lagrangian 1
Maximal blocksize in Hessian of Lagrangian 1
Average blocksize in Hessian of Lagrangian 1.0
#Semicontinuities 0
#Nonlinear Semicontinuities 0
#SOS type 1 0
#SOS type 2 0
Minimal coefficient 9.0000e-01
Maximal coefficient 1.1000e+01
Infeasibility of initial point 0
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
*          8        4        0        4        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*         10        7        3        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*         26       24        2        0
*
*  Solve m using MINLP minimizing objvar;


Variables  x1,x2,x3,x4,x5,x6,b7,b8,b9,objvar;

Positive Variables  x1,x2,x3,x4,x5,x6;

Binary Variables  b7,b8,b9;

Equations  e1,e2,e3,e4,e5,e6,e7,e8;


e1..  - 1.8*x1 - 1.8*x2 - 7*x3 - x4 - 1.2*x5 + 11*x6 - 3.5*b7 - b8 - 1.5*b9
      + objvar =E= 0;

e2.. -log(1 + x1) + x4 =E= 0;

e3.. -1.2*log(1 + x2) + x5 =E= 0;

e4..  - 0.9*x3 - 0.9*x4 - 0.9*x5 + x6 =E= 0;

e5..    x6 - b7 =L= 0;

e6..    x4 - 1.111111*b8 =L= 0;

e7..    x5 - 1.111111*b9 =L= 0;

e8..    b8 + b9 =L= 1;

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: 2022-08-11 Git hash: f176bd52
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