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A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance ex5_4_4
Formatsⓘ | ams gms mod nl osil py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | 10077.77537000 (ANTIGONE) 10077.77539000 (BARON) 10077.77540000 (COUENNE) 10077.77539000 (LINDO) 10077.77540000 (SCIP) 1691.75984800 (SHOT) |
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. Floudas, C A and Ciric, A R, Eds, Proceedings of the Third International Symposium on Process Systems Engineering, 1988. |
Sourceⓘ | Test Problem ex5.4.4 of Chapter 5 of Floudas e.a. handbook |
Added to libraryⓘ | 31 Jul 2001 |
Problem typeⓘ | NLP |
#Variablesⓘ | 27 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 21 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | nonlinear |
Objective curvatureⓘ | nonconcave |
#Nonzeros in Objectiveⓘ | 6 |
#Nonlinear Nonzeros in Objectiveⓘ | 6 |
#Constraintsⓘ | 19 |
#Linear Constraintsⓘ | 13 |
#Quadratic Constraintsⓘ | 6 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | div mul vcpower |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 69 |
#Nonlinear Nonzeros in Jacobianⓘ | 27 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 36 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 6 |
#Blocks in Hessian of Lagrangianⓘ | 6 |
Minimal blocksize in Hessian of Lagrangianⓘ | 2 |
Maximal blocksize in Hessian of Lagrangianⓘ | 5 |
Average blocksize in Hessian of Lagrangianⓘ | 3.5 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 1.6667e-01 |
Maximal coefficientⓘ | 2.0000e+03 |
Infeasibility of initial pointⓘ | 2000 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 20 20 0 0 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 28 28 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 76 43 33 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18,x19 ,x20,x21,x22,x23,x24,x25,x26,x27,objvar; Positive Variables x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18,x19,x20,x21; Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19 ,e20; e1.. x7 + x12 + x17 =E= 45; e2.. x7 - x8 + x14 + x20 =E= 0; e3.. x9 + x12 - x13 + x19 =E= 0; e4.. x10 + x15 + x17 - x18 =E= 0; e5.. - x8 + x9 + x10 + x11 =E= 0; e6.. - x13 + x14 + x15 + x16 =E= 0; e7.. - x18 + x19 + x20 + x21 =E= 0; e8.. x25*x14 + x27*x20 - x22*x8 + 100*x7 =E= 0; e9.. x23*x9 + x27*x19 - x24*x13 + 100*x12 =E= 0; e10.. x23*x10 + x25*x15 - x26*x18 + 100*x17 =E= 0; e11.. x8*x23 - x8*x22 =E= 2000; e12.. x13*x25 - x13*x24 =E= 1000; e13.. x18*x27 - x18*x26 =E= 1500; e14.. x1 + x23 =E= 210; e15.. x2 + x22 =E= 130; e16.. x3 + x25 =E= 210; e17.. x4 + x24 =E= 160; e18.. x5 + x27 =E= 210; e19.. x6 + x26 =E= 180; e20.. -(1300*(2000/(0.333333333333333*x1*x2 + 0.166666666666667*x1 + 0.166666666666667*x2))**0.6 + 1300*(1000/(0.666666666666667*x3*x4 + 0.166666666666667*x3 + 0.166666666666667*x4))**0.6 + 1300*(1500/( 0.666666666666667*x5*x6 + 0.166666666666667*x5 + 0.166666666666667*x6))** 0.6) + objvar =E= 0; * set non-default bounds x1.lo = 10; x1.up = 110; x2.lo = 10; x2.up = 110; x3.lo = 10; x3.up = 110; x4.lo = 10; x4.up = 110; x5.lo = 10; x5.up = 110; x6.lo = 10; x6.up = 110; x7.up = 45; x8.up = 45; x9.up = 45; x10.up = 45; x11.up = 45; x12.up = 45; x13.up = 45; x14.up = 45; x15.up = 45; x16.up = 45; x17.up = 45; x18.up = 45; x19.up = 45; x20.up = 45; x21.up = 45; x22.lo = 100; x22.up = 200; x23.lo = 100; x23.up = 200; x24.lo = 100; x24.up = 200; x25.lo = 100; x25.up = 200; x26.lo = 100; x26.up = 200; x27.lo = 100; x27.up = 200; 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