MINLPLib

A Library of Mixed-Integer and Continuous Nonlinear Programming Instances

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


Instance alkyl

Formats ams gms mod nl osil pip py
Primal Bounds (infeas ≤ 1e-08)
-1.76499965 p1 ( gdx sol )
(infeas: 3e-10)
Other points (infeas > 1e-08)
-1.76502498 p2 ( gdx sol )
(infeas: 8e-07)
Dual Bounds
-1.76500127 (ANTIGONE)
-1.76500008 (BARON)
-1.76501147 (COUENNE)
-1.76499965 (LINDO)
-1.76500560 (SCIP)
References Berna, T J, Locke, M H, and Westerberg, A W, A New Approach to Optimization of Chemical Processes, American Institute of Chemical Engineers Journal, 26:1, 1980, 37-43.
Source GAMS Model Library model alkyl
Application Alkylation
Added to library 31 Jul 2001
Problem type NLP
#Variables 14
#Binary Variables 0
#Integer Variables 0
#Nonlinear Variables 12
#Nonlinear Binary Variables 0
#Nonlinear Integer Variables 0
Objective Sense min
Objective type quadratic
Objective curvature indefinite
#Nonzeros in Objective 6
#Nonlinear Nonzeros in Objective 2
#Constraints 7
#Linear Constraints 1
#Quadratic Constraints 4
#Polynomial Constraints 2
#Signomial Constraints 0
#General Nonlinear Constraints 0
Operands in Gen. Nonlin. Functions  
Constraints curvature indefinite
#Nonzeros in Jacobian 25
#Nonlinear Nonzeros in Jacobian 17
#Nonzeros in (Upper-Left) Hessian of Lagrangian 21
#Nonzeros in Diagonal of Hessian of Lagrangian 1
#Blocks in Hessian of Lagrangian 3
Minimal blocksize in Hessian of Lagrangian 2
Maximal blocksize in Hessian of Lagrangian 8
Average blocksize in Hessian of Lagrangian 4.0
#Semicontinuities 0
#Nonlinear Semicontinuities 0
#SOS type 1 0
#SOS type 2 0
Minimal coefficient 6.7000e-03
Maximal coefficient 2.2200e+01
Infeasibility of initial point 0.03
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        8        0        0        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*         15       15        0        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*         32       13       19        0
*
*  Solve m using NLP minimizing objvar;


Variables  objvar,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15;

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

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


e1.. 6.3*x5*x8 + objvar - 5.04*x2 - 0.35*x3 - x4 - 3.36*x6 =E= 0;

e2..  - 0.819672131147541*x2 + x5 - 0.819672131147541*x6 =E= 0;

e3.. 0.98*x4 - (0.01*x5*x10 + x4)*x7 =E= 0;

e4.. -x2*x9 + 10*x3 + x6 =E= 0;

e5.. x5*x12 - (1.12 + 0.13167*x9 - 0.0067*x9*x9)*x2 =E= 0;

e6.. x8*x13 - 0.01*(1.098*x9 - 0.038*x9*x9) - 0.325*x7 =E= 0.57425;

e7.. x10*x14 + 22.2*x11 =E= 35.82;

e8.. x11*x15 - 3*x8 =E= -1.33;

* set non-default bounds
x2.up = 2;
x3.up = 1.6;
x4.up = 1.2;
x5.up = 5;
x6.up = 2;
x7.lo = 0.85; x7.up = 0.93;
x8.lo = 0.9; x8.up = 0.95;
x9.lo = 3; x9.up = 12;
x10.lo = 1.2; x10.up = 4;
x11.lo = 1.45; x11.up = 1.62;
x12.lo = 0.99; x12.up = 1.01010101010101;
x13.lo = 0.99; x13.up = 1.01010101010101;
x14.lo = 0.9; x14.up = 1.11111111111111;
x15.lo = 0.99; x15.up = 1.01010101010101;

* set non-default levels
objvar.l = -0.9;
x2.l = 1.745;
x3.l = 1.2;
x4.l = 1.1;
x5.l = 3.048;
x6.l = 1.974;
x7.l = 0.893;
x8.l = 0.928;
x9.l = 8;
x10.l = 3.6;
x12.l = 1;
x13.l = 1;
x14.l = 1;
x15.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 NLP $set NLP NLP
Solve m using %NLP% minimizing objvar;


Last updated: 2024-12-17 Git hash: 8eaceb91
Imprint / Privacy Policy / License: CC-BY 4.0