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A Library of Mixed-Integer and Continuous Nonlinear Programming Instances

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Instance st_e27

Formatsⓘ ams gms lp mod nl osil pip py
Primal Bounds (infeas ≤ 1e-08)ⓘ
2. p1 ( gdx sol )
(infeas: 0)
Other points (infeas > 1e-08)ⓘ  
Dual Boundsⓘ
2. (ANTIGONE)
2. (BARON)
2. (COUENNE)
2. (CPLEX)
2. (GUROBI)
2. (LINDO)
2. (SCIP)
2. (SHOT)
Referencesⓘ Tawarmalani, M and Sahinidis, N V, Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications, Kluwer, 2002.
Falk, J E and Soland, R M, An algorithm for separable nonconvex programming problems, Management Science, 15:9, 1969, 550-569.
Sourceⓘ BARON book instance misc/e27
Added to libraryⓘ 01 Sep 2002
Problem typeⓘ MBQP
#Variablesⓘ 4
#Binary Variablesⓘ 2
#Integer Variablesⓘ 0
#Nonlinear Variablesⓘ 2
#Nonlinear Binary Variablesⓘ 0
#Nonlinear Integer Variablesⓘ 0
Objective Senseⓘ min
Objective typeⓘ quadratic
Objective curvatureⓘ concave
#Nonzeros in Objectiveⓘ 4
#Nonlinear Nonzeros in Objectiveⓘ 2
#Constraintsⓘ 6
#Linear Constraintsⓘ 6
#Quadratic Constraintsⓘ 0
#Polynomial Constraintsⓘ 0
#Signomial Constraintsⓘ 0
#General Nonlinear Constraintsⓘ 0
Operands in Gen. Nonlin. Functionsⓘ  
Constraints curvatureⓘ linear
#Nonzeros in Jacobianⓘ 12
#Nonlinear Nonzeros in Jacobianⓘ 0
#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ⓘ 1.0000e+00
Maximal coefficientⓘ 6.0000e+00
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
*          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
*          5        3        2        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*         17       15        2        0
*
*  Solve m using MINLP minimizing objvar;


Variables  b1,b2,x3,x4,objvar;

Positive Variables  x3,x4;

Binary Variables  b1,b2;

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


e1..  - x3 + 3*x4 =L= 5;

e2..    2*x3 - x4 =L= 5;

e3..  - 2*x3 + x4 =L= 0;

e4..    x3 - 3*x4 =L= 0;

e5..  - 6*b1 + x3 =L= 0;

e6..  - 5*b2 + x4 =L= 0;

e7.. -(4*x3 - sqr(x3) - sqr(x4) + 2*x4) - 2*b1 - 2*b2 + objvar =E= 2;

* set non-default bounds
x3.up = 6;
x4.up = 5;

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;


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