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Instance hs62

Formatsⓘ ams gms mod nl osil py
Primal Bounds (infeas ≤ 1e-08)ⓘ
-26272.54101 p1 ( gdx sol )
(infeas: 3e-10)
Other points (infeas > 1e-08)ⓘ  
Dual Boundsⓘ
-26278.31113 (ANTIGONE)
-26272.58268 (BARON)
-26277.81464 (COUENNE)
-26272.70072 (LINDO)
-26273.91314 (SCIP)
Referencesⓘ Hock, W and Schittkowski, K, Test Examples for Nonlinear Programming Codes, Springer Verlag, 1981.
Sourceⓘ GAMS Model Library model hs62
Applicationⓘ Test Problem
Added to libraryⓘ 31 Jul 2001
Problem typeⓘ NLP
#Variablesⓘ 3
#Binary Variablesⓘ 0
#Integer Variablesⓘ 0
#Nonlinear Variablesⓘ 3
#Nonlinear Binary Variablesⓘ 0
#Nonlinear Integer Variablesⓘ 0
Objective Senseⓘ min
Objective typeⓘ nonlinear
Objective curvatureⓘ nonconcave
#Nonzeros in Objectiveⓘ 3
#Nonlinear Nonzeros in Objectiveⓘ 3
#Constraintsⓘ 1
#Linear Constraintsⓘ 0
#Quadratic Constraintsⓘ 1
#Polynomial Constraintsⓘ 0
#Signomial Constraintsⓘ 0
#General Nonlinear Constraintsⓘ 0
Operands in Gen. Nonlin. Functionsⓘ div log
Constraints curvatureⓘ indefinite
#Nonzeros in Jacobianⓘ 3
#Nonlinear Nonzeros in Jacobianⓘ 3
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ 9
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ 3
#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ⓘ 3.0000e-02
Maximal coefficientⓘ 2.9000e+02
Infeasibility of initial pointⓘ 20
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
*          2        2        0        0        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*          4        4        0        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*          7        1        6        0
*
*  Solve m using NLP minimizing objvar;


Variables  objvar,x2,x3,x4;

Positive Variables  x2,x3,x4;

Equations  e1,e2;


e1.. 32.174*(255*log((0.03 + x2 + x3 + x4)/(0.03 + 0.09*x2 + x3 + x4)) + 280*
     log((0.03 + x3 + x4)/(0.03 + 0.07*x3 + x4)) + 290*log((0.03 + x4)/(0.03 + 
     0.13*x4))) + objvar =E= 0;

e2.. 20*sqr((-1) + x2 + x3 + x4) =E= 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;


Last updated: 2026-09-14 Git hash: 9472b011
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