MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance alkyl
Formatsⓘ | ams gms mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
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 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: 2024-08-26 Git hash: 6cc1607f