MINLPLib

A Library of Mixed-Integer and Continuous Nonlinear Programming Instances

Home // Instances // Documentation // Download // Statistics

Instance ex7_2_3

Formatsⓘ	ams gms mod nl osil py
Primal Bounds (infeas ≤ 1e-08)ⓘ	7049.24802 p1 ( gdx sol ) (infeas: 3e-10)
Other points (infeas > 1e-08)ⓘ
Dual Boundsⓘ	7049.227807 (ANTIGONE) 7049.228288 (BARON) 2238.626328 (COUENNE) 4570.881594 (GUROBI) 7049.24802 (LINDO) 3955.967308 (SCIP) 2100. (SHOT)
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. Avriel, M and Williams, A C, An Extension of Geometric Programming with Applications in Engineering Optimization, Journal of Engineering Mathematics, 5:2, 1971, 187-194.
Sourceⓘ	Test Problem ex7.2.3 of Chapter 7 of Floudas e.a. handbook
Added to libraryⓘ	31 Jul 2001
Problem typeⓘ	NLP
#Variablesⓘ	8
#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ⓘ	3
#Nonlinear Nonzeros in Objectiveⓘ	0
#Constraintsⓘ	6
#Linear Constraintsⓘ	3
#Quadratic Constraintsⓘ	0
#Polynomial Constraintsⓘ	0
#Signomial Constraintsⓘ	3
#General Nonlinear Constraintsⓘ	0
Operands in Gen. Nonlin. Functionsⓘ
Constraints curvatureⓘ	indefinite
#Nonzeros in Jacobianⓘ	17
#Nonlinear Nonzeros in Jacobianⓘ	10
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ	28
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ	6
#Blocks in Hessian of Lagrangianⓘ	1
Minimal blocksize in Hessian of Lagrangianⓘ	8
Maximal blocksize in Hessian of Lagrangianⓘ	8
Average blocksize in Hessian of Lagrangianⓘ	8.0
#Semicontinuitiesⓘ	0
#Nonlinear Semicontinuitiesⓘ	0
#SOS type 1ⓘ	0
#SOS type 2ⓘ	0
Minimal coefficientⓘ	2.5000e-03
Maximal coefficientⓘ	1.2500e+06
Infeasibility of initial pointⓘ	122.5
Sparsity Jacobianⓘ
Sparsity Hessian of Lagrangianⓘ

$offlisting
*  
*  Equation counts
*      Total        E        G        L        N        X        C        B
*          7        1        0        6        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*          9        9        0        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*         21       11       10        0
*
*  Solve m using NLP minimizing objvar;


Variables  x1,x2,x3,x4,x5,x6,x7,x8,objvar;

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


e1..  - x1 - x2 - x3 + objvar =E= 0;

e2.. 833.33252*x4/x1/x6 + 100/x6 - 83333.333/(x1*x6) =L= 1;

e3.. 1250*x5/x2/x7 + x4/x7 - 1250*x4/x2/x7 =L= 1;

e4.. 1250000/(x3*x8) + x5/x8 - 2500*x5/x3/x8 =L= 1;

e5..    0.0025*x4 + 0.0025*x6 =L= 1;

e6..  - 0.0025*x4 + 0.0025*x5 + 0.0025*x7 =L= 1;

e7..  - 0.01*x5 + 0.01*x8 =L= 1;

* set non-default bounds
x1.lo = 100; x1.up = 10000;
x2.lo = 1000; x2.up = 10000;
x3.lo = 1000; x3.up = 10000;
x4.lo = 10; x4.up = 1000;
x5.lo = 10; x5.up = 1000;
x6.lo = 10; x6.up = 1000;
x7.lo = 10; x7.up = 1000;
x8.lo = 10; x8.up = 1000;

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;