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Instance st_e30
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -1.58113890 (ANTIGONE) -1.58113884 (BARON) -1.58113883 (COUENNE) -1.58113965 (GUROBI) -1.58113883 (LINDO) -1.58113894 (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. Marin, R, Points of location on a fixture, 1998. Personal Communication. |
Sourceⓘ | BARON book instance misc/e30 |
Added to libraryⓘ | 03 Sep 2002 |
Problem typeⓘ | QCP |
#Variablesⓘ | 14 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 7 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | linear |
Objective curvatureⓘ | linear |
#Nonzeros in Objectiveⓘ | 1 |
#Nonlinear Nonzeros in Objectiveⓘ | 0 |
#Constraintsⓘ | 15 |
#Linear Constraintsⓘ | 10 |
#Quadratic Constraintsⓘ | 5 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 42 |
#Nonlinear Nonzeros in Jacobianⓘ | 14 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 14 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 2 |
#Blocks in Hessian of Lagrangianⓘ | 2 |
Minimal blocksize in Hessian of Lagrangianⓘ | 3 |
Maximal blocksize in Hessian of Lagrangianⓘ | 4 |
Average blocksize in Hessian of Lagrangianⓘ | 3.5 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 1.0000e+00 |
Maximal coefficientⓘ | 2.0000e+00 |
Infeasibility of initial pointⓘ | 1 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 16 8 3 5 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 15 15 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 44 30 14 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,objvar; Positive Variables x11,x12,x13,x14; Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16; e1.. -x12*x7 - x1 + x3 =E= 0; e2.. -x12*x8 - x2 + x4 =E= 0; e3.. (-x13*x7) - x11*x9 - x1 + x5 =E= 0; e4.. (-x13*x8) - x11*x10 - x2 + x6 =E= 0; e5.. sqr(x7) + sqr(x8) =E= 1; e6.. x8 + x9 =E= 0; e7.. - x7 + x10 =E= 0; e8.. - x12 + x14 =L= 0; e9.. - x11 + x14 =L= 0; e10.. 2*x1 + x2 =G= -1; e11.. 2*x3 + x4 =G= -1; e12.. 2*x5 + x6 =G= -1; e13.. x1 + x2 =L= 1; e14.. x3 + x4 =L= 1; e15.. x5 + x6 =L= 1; e16.. x14 + objvar =E= 0; * set non-default bounds x1.lo = -1; x1.up = 1; x2.lo = -1; x2.up = 1; x3.lo = -1; x3.up = 1; x4.lo = -1; x4.up = 1; x5.lo = -1; x5.up = 1; x6.lo = -1; x6.up = 1; x7.lo = -1; x7.up = 1; x8.lo = -1; x8.up = 1; x9.lo = -1; x9.up = 1; x10.lo = -1; x10.up = 1; x11.up = 3; x12.up = 3; x13.up = 3; x14.up = 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: 2024-12-17 Git hash: 8eaceb91