MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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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: 2024-08-26 Git hash: 6cc1607f