MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance house
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -4500.00443600 (ANTIGONE) -4500.00000900 (BARON) -4500.00001100 (COUENNE) -4500.00003700 (GUROBI) -4500.00000000 (LINDO) -4500.00000200 (SCIP) |
Referencesⓘ | Borland, Eureka: The Solver, Borland International, Scotts Valley, California, 1987. |
Sourceⓘ | GAMS Model Library model house |
Applicationⓘ | Geometry |
Added to libraryⓘ | 31 Jul 2001 |
Problem typeⓘ | QCP |
#Variablesⓘ | 8 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 5 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | linear |
Objective curvatureⓘ | linear |
#Nonzeros in Objectiveⓘ | 2 |
#Nonlinear Nonzeros in Objectiveⓘ | 0 |
#Constraintsⓘ | 8 |
#Linear Constraintsⓘ | 5 |
#Quadratic Constraintsⓘ | 3 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 23 |
#Nonlinear Nonzeros in Jacobianⓘ | 9 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 8 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
#Blocks in Hessian of Lagrangianⓘ | 1 |
Minimal blocksize in Hessian of Lagrangianⓘ | 5 |
Maximal blocksize in Hessian of Lagrangianⓘ | 5 |
Average blocksize in Hessian of Lagrangianⓘ | 5.0 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 3.3333e-01 |
Maximal coefficientⓘ | 1.0000e+00 |
Infeasibility of initial pointⓘ | 1500 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 9 5 3 1 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 * 26 17 9 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,e8,e9; e1.. -(x1*x2 + x5*x4) + x7 =E= 0; e2.. -x1*x3 + x8 =E= 0; e3.. - x7 - x8 - objvar =E= 0; e4.. - x2 - x5 + x6 =E= 0; e5.. x1 - 0.333333333333333*x4 =G= 0; e6.. x1 - 0.5*x4 =L= 0; e7.. x2*(x4 - x1) =G= 1500; e8.. - 0.5*x2 + x3 - x5 =E= 0; e9.. - 0.5*x2 + x5 =G= 0; * set non-default bounds x4.lo = 40; x4.up = 68; x6.lo = 56; x6.up = 100; x7.up = 3000; * set non-default levels x1.l = 30; x4.l = 68; 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