MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
Home // Instances // Documentation // Download // Statistics
Instance ex3_1_4
| Formatsⓘ | ams gms lp mod nl osil pip py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -4.00000000 (ANTIGONE) -4.00000002 (BARON) -4.00000000 (COUENNE) -4.00000006 (GUROBI) -4.00000000 (LINDO) -4.00000000 (SCIP) |
| Referencesⓘ | Floudas, C A, Pardalos, Panos M, Adjiman, C S, Esposito, W R, Gumus, Zeynep H, Harding, S T, Klepeis, John L, Meyer, Clifford A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization, Kluwer Academic Publishers, 1999. Ben-Sadd, S, An Algorithm for a Class of Nonlinear Nonconvex Optimization Problems, PhD thesis, University of California, Los Angeles, 1989. |
| Sourceⓘ | Test Problem ex3.1.4 of Chapter 3 of Floudas e.a. handbook |
| Added to libraryⓘ | 31 Jul 2001 |
| Problem typeⓘ | QCP |
| #Variablesⓘ | 3 |
| #Binary Variablesⓘ | 0 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 3 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 3 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 3 |
| #Linear Constraintsⓘ | 2 |
| #Quadratic Constraintsⓘ | 1 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | concave |
| #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ⓘ | 1.0000e+00 |
| Maximal coefficientⓘ | 2.0000e+01 |
| Infeasibility of initial pointⓘ | 0 |
| 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
* 4 4 0 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 12 9 3 0
*
* Solve m using NLP minimizing objvar;
Variables x1,x2,x3,objvar;
Positive Variables x1,x2,x3;
Equations e1,e2,e3,e4;
e1.. 2*x1 - x2 + x3 + objvar =E= 0;
e2.. x1*(4*x1 - 2*x2 + 2*x3) + x2*(2*x2 - 2*x1 - x3) + x3*(2*x1 - x2 + 2*x3) -
20*x1 + 9*x2 - 13*x3 =G= -24;
e3.. x1 + x2 + x3 =L= 4;
e4.. 3*x2 + x3 =L= 6;
* set non-default bounds
x1.up = 2;
x3.up = 3;
* set non-default levels
x1.l = 0.5;
x3.l = 3;
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

