MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Removed Instance st_cqpf
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -2.75000000 (ANTIGONE) -2.75000000 (BARON) -2.75000000 (COUENNE) -2.75000000 (CPLEX) -2.75000000 (LINDO) -2.75000000 (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. Shectman, J P, Finite Algorithms for Global Optimization of Concave Programs and General Quadratic Programs, PhD thesis, Department of Mechanical and Industrial Engineering, University of Illinois, Urbana Champagne, 1999. |
Sourceⓘ | BARON book instance iqp/cqpf |
Added to libraryⓘ | 03 Sep 2002 |
Removed from libraryⓘ | 16 Feb 2022 |
Removed becauseⓘ | Instance is continuous and convex. |
Problem typeⓘ | QP |
#Variablesⓘ | 4 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 4 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | quadratic |
Objective curvatureⓘ | convex |
#Nonzeros in Objectiveⓘ | 4 |
#Nonlinear Nonzeros in Objectiveⓘ | 4 |
#Constraintsⓘ | 6 |
#Linear Constraintsⓘ | 6 |
#Quadratic Constraintsⓘ | 0 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | linear |
#Nonzeros in Jacobianⓘ | 14 |
#Nonlinear Nonzeros in Jacobianⓘ | 0 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 4 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 4 |
#Blocks in Hessian of Lagrangianⓘ | 4 |
Minimal blocksize in Hessian of Lagrangianⓘ | 1 |
Maximal blocksize in Hessian of Lagrangianⓘ | 1 |
Average blocksize in Hessian of Lagrangianⓘ | 1.0 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 2.5000e-01 |
Maximal coefficientⓘ | 3.0000e+00 |
Infeasibility of initial pointⓘ | 4 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 7 1 6 0 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 * 19 15 4 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,x4,objvar; Positive Variables x1,x2,x3,x4; Equations e1,e2,e3,e4,e5,e6,e7; e1.. x1 + x2 =G= 1; e2.. 2*x3 + 2*x4 =G= 4; e3.. x1 + x3 =G= 3; e4.. x2 + x4 =G= 4; e5.. - x2 - 2*x3 - 3*x4 =G= -8; e6.. - 3*x2 - x3 - 2*x4 =G= -10; e7.. -(0.25*x1*x1 - x1 + 0.25*x2*x2 - x2 + 0.25*x3*x3 - x3 + 0.25*x4*x4 - x4) + objvar =E= 0; * set non-default bounds x1.up = 10000; 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