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A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance st_e41
Formatsⓘ | ams gms mod nl osil py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | 641.82356170 (ANTIGONE) 641.82356100 (BARON) 641.82315590 (COUENNE) 641.82345950 (LINDO) 641.82355980 (SCIP) |
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. Kim, Y S, Problems in reliability, 1998. Personal Communication. |
Sourceⓘ | BARON book instance misc/e41 |
Added to libraryⓘ | 03 Sep 2002 |
Problem typeⓘ | NLP |
#Variablesⓘ | 4 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 4 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | signomial |
Objective curvatureⓘ | concave |
#Nonzeros in Objectiveⓘ | 4 |
#Nonlinear Nonzeros in Objectiveⓘ | 4 |
#Constraintsⓘ | 2 |
#Linear Constraintsⓘ | 0 |
#Quadratic Constraintsⓘ | 0 |
#Polynomial Constraintsⓘ | 2 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 8 |
#Nonlinear Nonzeros in Jacobianⓘ | 8 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 16 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 4 |
#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ⓘ | 6.0000e-01 |
Maximal coefficientⓘ | 3.0000e+02 |
Infeasibility of initial pointⓘ | 0.1266 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 3 1 0 2 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 * 13 1 12 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,x4,objvar; Equations e1,e2,e3; e1.. -(-sqr(1 - x1)*x3*sqr(1 - x4) - sqr(1 - (1 - (1 - x1)*(1 - x4))*x2)*(1 - x3)) =L= 0.1; e2.. (-sqr(1 - x1)*x3*sqr(1 - x4)) - sqr(1 - (1 - (1 - x1)*(1 - x4))*x2)*(1 - x3) =L= 0; e3.. -(200*x1**0.6 + 200*x2**0.6 + 200*x3**0.6 + 300*x4**0.6) + objvar =E= 0; * set non-default bounds x1.lo = 0.5; x1.up = 1; x2.lo = 0.5; x2.up = 1; x3.lo = 0.5; x3.up = 1; x4.lo = 0.5; x4.up = 1; 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: 2024-12-17 Git hash: 8eaceb91