MINLPLib

A Library of Mixed-Integer and Continuous Nonlinear Programming Instances

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Instance elf

Formats ams gms lp mod nl osil pip py
Primal Bounds (infeas ≤ 1e-08)
0.19166667 p1 ( gdx sol )
(infeas: 4e-15)
Other points (infeas > 1e-08)
0.19155509 p2 ( gdx sol )
(infeas: 6e-07)
Dual Bounds
0.19166667 (ANTIGONE)
0.19166667 (BARON)
0.19166667 (COUENNE)
0.19163215 (GUROBI)
0.19166667 (LINDO)
0.19166667 (SCIP)
0.19166667 (SHOT)
Source Aldo Vecchietti's Model Collection
Application pseudo components properties
Added to library 01 May 2001
Problem type MBQCP
#Variables 54
#Binary Variables 24
#Integer Variables 0
#Nonlinear Variables 6
#Nonlinear Binary Variables 0
#Nonlinear Integer Variables 0
Objective Sense min
Objective type linear
Objective curvature linear
#Nonzeros in Objective 24
#Nonlinear Nonzeros in Objective 0
#Constraints 38
#Linear Constraints 11
#Quadratic Constraints 27
#Polynomial Constraints 0
#Signomial Constraints 0
#General Nonlinear Constraints 0
Operands in Gen. Nonlin. Functions  
Constraints curvature indefinite
#Nonzeros in Jacobian 153
#Nonlinear Nonzeros in Jacobian 30
#Nonzeros in (Upper-Left) Hessian of Lagrangian 9
#Nonzeros in Diagonal of Hessian of Lagrangian 3
#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 1.0000e+02
Infeasibility of initial point 23.25
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
*         39        7       32        0        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*         55       31       24        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*        178      148       30        0
*
*  Solve m using MINLP minimizing objvar;


Variables  b1,b2,b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,b17,b18,b19
          ,b20,b21,b22,b23,b24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35,x36
          ,x37,x38,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51,x52,x53
          ,x54,objvar;

Positive Variables  x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35,x36,x37,x38
          ,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51,x52,x53,x54;

Binary Variables  b1,b2,b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,b17
          ,b18,b19,b20,b21,b22,b23,b24;

Equations  e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19
          ,e20,e21,e22,e23,e24,e25,e26,e27,e28,e29,e30,e31,e32,e33,e34,e35,e36
          ,e37,e38,e39;


e1.. -sqr(8 - x49) - 100*b1 + x25 =G= -100;

e2.. -sqr(8 - x50) - 100*b2 + x26 =G= -100;

e3.. -sqr(8 - x51) - 100*b3 + x27 =G= -100;

e4.. -sqr(8.5 - x49) - 100*b4 + x28 =G= -100;

e5.. -sqr(8.5 - x50) - 100*b5 + x29 =G= -100;

e6.. -sqr(8.5 - x51) - 100*b6 + x30 =G= -100;

e7.. -sqr(8.3 - x49) - 100*b7 + x31 =G= -100;

e8.. -sqr(8.3 - x50) - 100*b8 + x32 =G= -100;

e9.. -sqr(8.3 - x51) - 100*b9 + x33 =G= -100;

e10.. -sqr(8.7 - x49) - 100*b10 + x34 =G= -100;

e11.. -sqr(8.7 - x50) - 100*b11 + x35 =G= -100;

e12.. -sqr(8.7 - x51) - 100*b12 + x36 =G= -100;

e13.. -sqr(8.6 - x49) - 100*b13 + x37 =G= -100;

e14.. -sqr(8.6 - x50) - 100*b14 + x38 =G= -100;

e15.. -sqr(8.6 - x51) - 100*b15 + x39 =G= -100;

e16.. -sqr(9 - x49) - 100*b16 + x40 =G= -100;

e17.. -sqr(9 - x50) - 100*b17 + x41 =G= -100;

e18.. -sqr(9 - x51) - 100*b18 + x42 =G= -100;

e19.. -sqr(9.2 - x49) - 100*b19 + x43 =G= -100;

e20.. -sqr(9.2 - x50) - 100*b20 + x44 =G= -100;

e21.. -sqr(9.2 - x51) - 100*b21 + x45 =G= -100;

e22.. -sqr(9.5 - x49) - 100*b22 + x46 =G= -100;

e23.. -sqr(9.5 - x50) - 100*b23 + x47 =G= -100;

e24.. -sqr(9.5 - x51) - 100*b24 + x48 =G= -100;

e25..    b1 + b2 + b3 =G= 1;

e26..    b4 + b5 + b6 =G= 1;

e27..    b7 + b8 + b9 =G= 1;

e28..    b10 + b11 + b12 =G= 1;

e29..    b13 + b14 + b15 =G= 1;

e30..    b16 + b17 + b18 =G= 1;

e31..    b19 + b20 + b21 =G= 1;

e32..    b22 + b23 + b24 =G= 1;

e33..  - b1 - b4 - b7 - b10 - b13 - b16 - b19 - b22 + x52 =E= 0;

e34..  - b2 - b5 - b8 - b11 - b14 - b17 - b20 - b23 + x53 =E= 0;

e35..  - b3 - b6 - b9 - b12 - b15 - b18 - b21 - b24 + x54 =E= 0;

e36.. x52*x49 - 8*b1 - 8.5*b4 - 8.3*b7 - 8.7*b10 - 8.6*b13 - 9*b16 - 9.2*b19
       - 9.5*b22 =E= 0;

e37.. x53*x50 - 8*b2 - 8.5*b5 - 8.3*b8 - 8.7*b11 - 8.6*b14 - 9*b17 - 9.2*b20
       - 9.5*b23 =E= 0;

e38.. x54*x51 - 8*b3 - 8.5*b6 - 8.3*b9 - 8.7*b12 - 8.6*b15 - 9*b18 - 9.2*b21
       - 9.5*b24 =E= 0;

e39..  - x25 - x26 - x27 - x28 - x29 - x30 - x31 - x32 - x33 - x34 - x35 - x36
       - x37 - x38 - x39 - x40 - x41 - x42 - x43 - x44 - x45 - x46 - x47 - x48
       + objvar =E= 0;

* set non-default levels
b1.l = 0.33;
b2.l = 0.33;
b3.l = 0.33;
b4.l = 0.33;
b5.l = 0.33;
b6.l = 0.33;
b7.l = 0.33;
b8.l = 0.33;
b9.l = 0.33;
b10.l = 0.33;
b11.l = 0.33;
b12.l = 0.33;
b13.l = 0.33;
b14.l = 0.33;
b15.l = 0.33;
b16.l = 0.33;
b17.l = 0.33;
b18.l = 0.33;
b19.l = 0.33;
b20.l = 0.33;
b21.l = 0.33;
b22.l = 0.33;
b23.l = 0.33;

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: 2024-04-02 Git hash: 1dd5fb9b
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