MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance dispatch
| Formatsⓘ | ams gms lp mod nl osil pip py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | 3155.28792700 (ANTIGONE) 3155.28792400 (BARON) 3155.28787500 (COUENNE) 3155.28791800 (GUROBI) 3155.28792700 (LINDO) 3155.28792700 (SCIP) 3155.28792700 (SHOT) |
| Referencesⓘ | Wood, A J and Wollenberg, B F, Example Problem 4e. In Wood, A J and Wollenberg, B F, Power Generation, Operation and Control, John Wiley and Sons, 1984, 85-88. |
| Sourceⓘ | GAMS Model Library model dispatch |
| Applicationⓘ | Unit Commitment |
| Added to libraryⓘ | 31 Jul 2001 |
| Problem typeⓘ | QCQP |
| #Variablesⓘ | 4 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 3 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | quadratic |
| Objective curvatureⓘ | convex |
| #Nonzeros in Objectiveⓘ | 3 |
| #Nonlinear Nonzeros in Objectiveⓘ | 3 |
| #Constraintsⓘ | 2 |
| #Linear Constraintsⓘ | 1 |
| #Quadratic Constraintsⓘ | 1 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | indefinite |
| #Nonzeros in Jacobianⓘ | 8 |
| #Nonlinear Nonzeros in Jacobianⓘ | 3 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 9 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 3 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 3 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 3 |
| Average blocksize in Hessian of Lagrangianⓘ | 3.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 3.4200e-05 |
| Maximal coefficientⓘ | 1.1669e+01 |
| Infeasibility of initial pointⓘ | 77.5 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 3 2 1 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 5 5 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 12 6 6 0
*
* Solve m using NLP minimizing objvar;
Variables x1,x2,x3,x4,objvar;
Equations e1,e2,e3;
e1.. -(0.00533*sqr(x1) + 11.669*x1 + 0.00889*sqr(x2) + 10.333*x2 + 0.00741*sqr(
x3) + 10.833*x3) + objvar =E= 653.1;
e2.. -(0.01*(0.0676*x1*x1 + 0.00953*x1*x2 - 0.00507*x1*x3 + 0.00953*x2*x1 +
0.0521*x2*x2 + 0.00901*x2*x3 - 0.00507*x3*x1 + 0.00901*x3*x2 + 0.0294*x3*
x3) - 0.000766*x1 - 3.42e-5*x2 + 0.000189*x3) + x4 =E= 0.040357;
e3.. x1 + x2 + x3 - x4 =G= 210;
* set non-default bounds
x1.lo = 50; x1.up = 200;
x2.lo = 37.5; x2.up = 150;
x3.lo = 45; x3.up = 180;
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: 2025-08-07 Git hash: e62cedfc

