MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance hs62
Formatsⓘ | ams gms mod nl osil py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -26278.31113000 (ANTIGONE) -26272.58268000 (BARON) -26277.81464000 (COUENNE) -26272.70072000 (LINDO) -26273.91314000 (SCIP) |
Referencesⓘ | Hock, W and Schittkowski, K, Test Examples for Nonlinear Programming Codes, Springer Verlag, 1981. |
Sourceⓘ | GAMS Model Library model hs62 |
Applicationⓘ | Test Problem |
Added to libraryⓘ | 31 Jul 2001 |
Problem typeⓘ | NLP |
#Variablesⓘ | 3 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 3 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | nonlinear |
Objective curvatureⓘ | nonconcave |
#Nonzeros in Objectiveⓘ | 3 |
#Nonlinear Nonzeros in Objectiveⓘ | 3 |
#Constraintsⓘ | 1 |
#Linear Constraintsⓘ | 0 |
#Quadratic Constraintsⓘ | 1 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | div log |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 3 |
#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ⓘ | 3.0000e-02 |
Maximal coefficientⓘ | 2.9000e+02 |
Infeasibility of initial pointⓘ | 20 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 2 2 0 0 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 * 7 1 6 0 * * Solve m using NLP minimizing objvar; Variables objvar,x2,x3,x4; Positive Variables x2,x3,x4; Equations e1,e2; e1.. 32.174*(255*log((0.03 + x2 + x3 + x4)/(0.03 + 0.09*x2 + x3 + x4)) + 280* log((0.03 + x3 + x4)/(0.03 + 0.07*x3 + x4)) + 290*log((0.03 + x4)/(0.03 + 0.13*x4))) + objvar =E= 0; e2.. 20*sqr((-1) + x2 + x3 + x4) =E= 0; 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