MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance st_e38
| Formatsⓘ | ams gms mod nl osil pip py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | 7197.72714900 (ANTIGONE) 7197.72714900 (BARON) 7197.72714900 (COUENNE) 7197.72714900 (LINDO) 7197.72714900 (SCIP) 3422.67454400 (SHOT) |
| Referencesⓘ | Tawarmalani, M and Sahinidis, N V, Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications, Kluwer, 2002. Sandgren, E, Nonlinear Integer and Discrete Programming in Mechanical Design Optimization, Journal of Mechanical Design, 112:2, 1990, 223-229. |
| Sourceⓘ | BARON book instance misc/e38 |
| Added to libraryⓘ | 01 Sep 2002 |
| Problem typeⓘ | MINLP |
| #Variablesⓘ | 4 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 2 |
| #Nonlinear Variablesⓘ | 4 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 2 |
| Objective Senseⓘ | min |
| Objective typeⓘ | polynomial |
| Objective curvatureⓘ | indefinite |
| #Nonzeros in Objectiveⓘ | 4 |
| #Nonlinear Nonzeros in Objectiveⓘ | 4 |
| #Constraintsⓘ | 3 |
| #Linear Constraintsⓘ | 2 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 1 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | indefinite |
| #Nonzeros in Jacobianⓘ | 6 |
| #Nonlinear Nonzeros in Jacobianⓘ | 2 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 10 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 2 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 4 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 4 |
| Average blocksize in Hessian of Lagrangianⓘ | 4.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 9.5400e-03 |
| Maximal coefficientⓘ | 3.1416e+00 |
| Infeasibility of initial pointⓘ | 9.274e+05 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 4 1 1 2 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 5 3 0 2 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 11 5 6 0
*
* Solve m using MINLP minimizing objvar;
Variables i1,i2,x3,x4,objvar;
Integer Variables i1,i2;
Equations e1,e2,e3,e4;
e1.. - 0.0625*i1 + 0.0193*x3 =L= 0;
e2.. - 0.0625*i2 + 0.00954*x3 =L= 0;
e3.. 3.1415927*(sqr(x3)*x4 + 1.33333333333333*POWER(x3,3)) =G= 1296000;
e4.. -(0.0389*i1*x3*x4 + 0.1111312*sqr(x3)*i2 + 0.012348046875*sqr(i1)*x4 +
0.0775*sqr(i1)*x3) + objvar =E= 0;
* set non-default bounds
i1.lo = 18; i1.up = 100;
i2.lo = 10; i2.up = 100;
x3.lo = 40; x3.up = 80;
x4.lo = 20; x4.up = 60;
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: 2025-08-07 Git hash: e62cedfc

