MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
Home // Instances // Documentation // Download // Statistics
Instance pointpack14
Find the maximum radius of 14 non-overlapping circles that all lie in the unix-box.
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | 0.22434262 (ANTIGONE) 0.26574877 (BARON) 0.49274216 (COUENNE) 0.22134711 (GUROBI) 0.46914989 (LINDO) 0.15533536 (SCIP) |
Referencesⓘ | Anstreicher, Kurt, Semidefinite programming versus the reformulation-linearization technique for nonconvex quadratically constrained quadratic programming, Journal of Global Optimization, 43:2, 2009, 471-484. |
Sourceⓘ | ANTIGONE test library model Other_MIQCQP/pnt_pack_14.gms |
Applicationⓘ | Geometry |
Added to libraryⓘ | 15 Aug 2014 |
Problem typeⓘ | QCP |
#Variablesⓘ | 29 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 28 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | max |
Objective typeⓘ | linear |
Objective curvatureⓘ | linear |
#Nonzeros in Objectiveⓘ | 1 |
#Nonlinear Nonzeros in Objectiveⓘ | 0 |
#Constraintsⓘ | 105 |
#Linear Constraintsⓘ | 14 |
#Quadratic Constraintsⓘ | 91 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | concave |
#Nonzeros in Jacobianⓘ | 483 |
#Nonlinear Nonzeros in Jacobianⓘ | 364 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 392 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 28 |
#Blocks in Hessian of Lagrangianⓘ | 2 |
Minimal blocksize in Hessian of Lagrangianⓘ | 14 |
Maximal blocksize in Hessian of Lagrangianⓘ | 14 |
Average blocksize in Hessian of Lagrangianⓘ | 14.0 |
#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ⓘ | 0 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 105 0 0 105 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 29 29 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 483 119 364 0 * * Solve m using NLP maximizing 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,x28,objvar; Positive Variables x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18,x19,x20,x21,x22 ,x23,x24,x25,x26,x27,x28; Equations e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19 ,e20,e21,e22,e23,e24,e25,e26,e27,e28,e29,e30,e31,e32,e33,e34,e35,e36 ,e37,e38,e39,e40,e41,e42,e43,e44,e45,e46,e47,e48,e49,e50,e51,e52,e53 ,e54,e55,e56,e57,e58,e59,e60,e61,e62,e63,e64,e65,e66,e67,e68,e69,e70 ,e71,e72,e73,e74,e75,e76,e77,e78,e79,e80,e81,e82,e83,e84,e85,e86,e87 ,e88,e89,e90,e91,e92,e93,e94,e95,e96,e97,e98,e99,e100,e101,e102,e103 ,e104,e105; e1.. 2*x1*x2 - x1*x1 - x2*x2 - x15*x15 + 2*x15*x16 - x16*x16 + objvar =L= 0; e2.. 2*x1*x3 - x1*x1 - x3*x3 - x15*x15 + 2*x15*x17 - x17*x17 + objvar =L= 0; e3.. 2*x1*x4 - x1*x1 - x4*x4 - x15*x15 + 2*x15*x18 - x18*x18 + objvar =L= 0; e4.. 2*x1*x5 - x1*x1 - x5*x5 - x15*x15 + 2*x15*x19 - x19*x19 + objvar =L= 0; e5.. 2*x1*x6 - x1*x1 - x6*x6 - x15*x15 + 2*x15*x20 - x20*x20 + objvar =L= 0; e6.. 2*x1*x7 - x1*x1 - x7*x7 - x15*x15 + 2*x15*x21 - x21*x21 + objvar =L= 0; e7.. 2*x1*x8 - x1*x1 - x8*x8 - x15*x15 + 2*x15*x22 - x22*x22 + objvar =L= 0; e8.. 2*x1*x9 - x1*x1 - x9*x9 - x15*x15 + 2*x15*x23 - x23*x23 + objvar =L= 0; e9.. 2*x1*x10 - x1*x1 - x10*x10 - x15*x15 + 2*x15*x24 - x24*x24 + objvar =L= 0; e10.. 2*x1*x11 - x1*x1 - x11*x11 - x15*x15 + 2*x15*x25 - x25*x25 + objvar =L= 0 ; e11.. 2*x1*x12 - x1*x1 - x12*x12 - x15*x15 + 2*x15*x26 - x26*x26 + objvar =L= 0 ; e12.. 2*x1*x13 - x1*x1 - x13*x13 - x15*x15 + 2*x15*x27 - x27*x27 + objvar =L= 0 ; e13.. 2*x1*x14 - x1*x1 - x14*x14 - x15*x15 + 2*x15*x28 - x28*x28 + objvar =L= 0 ; e14.. 2*x2*x3 - x2*x2 - x3*x3 - x16*x16 + 2*x16*x17 - x17*x17 + objvar =L= 0; e15.. 2*x2*x4 - x2*x2 - x4*x4 - x16*x16 + 2*x16*x18 - x18*x18 + objvar =L= 0; e16.. 2*x2*x5 - x2*x2 - x5*x5 - x16*x16 + 2*x16*x19 - x19*x19 + objvar =L= 0; e17.. 2*x2*x6 - x2*x2 - x6*x6 - x16*x16 + 2*x16*x20 - x20*x20 + objvar =L= 0; e18.. 2*x2*x7 - x2*x2 - x7*x7 - x16*x16 + 2*x16*x21 - x21*x21 + objvar =L= 0; e19.. 2*x2*x8 - x2*x2 - x8*x8 - x16*x16 + 2*x16*x22 - x22*x22 + objvar =L= 0; e20.. 2*x2*x9 - x2*x2 - x9*x9 - x16*x16 + 2*x16*x23 - x23*x23 + objvar =L= 0; e21.. 2*x2*x10 - x2*x2 - x10*x10 - x16*x16 + 2*x16*x24 - x24*x24 + objvar =L= 0 ; e22.. 2*x2*x11 - x2*x2 - x11*x11 - x16*x16 + 2*x16*x25 - x25*x25 + objvar =L= 0 ; e23.. 2*x2*x12 - x2*x2 - x12*x12 - x16*x16 + 2*x16*x26 - x26*x26 + objvar =L= 0 ; e24.. 2*x2*x13 - x2*x2 - x13*x13 - x16*x16 + 2*x16*x27 - x27*x27 + objvar =L= 0 ; e25.. 2*x2*x14 - x2*x2 - x14*x14 - x16*x16 + 2*x16*x28 - x28*x28 + objvar =L= 0 ; e26.. 2*x3*x4 - x3*x3 - x4*x4 - x17*x17 + 2*x17*x18 - x18*x18 + objvar =L= 0; e27.. 2*x3*x5 - x3*x3 - x5*x5 - x17*x17 + 2*x17*x19 - x19*x19 + objvar =L= 0; e28.. 2*x3*x6 - x3*x3 - x6*x6 - x17*x17 + 2*x17*x20 - x20*x20 + objvar =L= 0; e29.. 2*x3*x7 - x3*x3 - x7*x7 - x17*x17 + 2*x17*x21 - x21*x21 + objvar =L= 0; e30.. 2*x3*x8 - x3*x3 - x8*x8 - x17*x17 + 2*x17*x22 - x22*x22 + objvar =L= 0; e31.. 2*x3*x9 - x3*x3 - x9*x9 - x17*x17 + 2*x17*x23 - x23*x23 + objvar =L= 0; e32.. 2*x3*x10 - x3*x3 - x10*x10 - x17*x17 + 2*x17*x24 - x24*x24 + objvar =L= 0 ; e33.. 2*x3*x11 - x3*x3 - x11*x11 - x17*x17 + 2*x17*x25 - x25*x25 + objvar =L= 0 ; e34.. 2*x3*x12 - x3*x3 - x12*x12 - x17*x17 + 2*x17*x26 - x26*x26 + objvar =L= 0 ; e35.. 2*x3*x13 - x3*x3 - x13*x13 - x17*x17 + 2*x17*x27 - x27*x27 + objvar =L= 0 ; e36.. 2*x3*x14 - x3*x3 - x14*x14 - x17*x17 + 2*x17*x28 - x28*x28 + objvar =L= 0 ; e37.. 2*x4*x5 - x4*x4 - x5*x5 - x18*x18 + 2*x18*x19 - x19*x19 + objvar =L= 0; e38.. 2*x4*x6 - x4*x4 - x6*x6 - x18*x18 + 2*x18*x20 - x20*x20 + objvar =L= 0; e39.. 2*x4*x7 - x4*x4 - x7*x7 - x18*x18 + 2*x18*x21 - x21*x21 + objvar =L= 0; e40.. 2*x4*x8 - x4*x4 - x8*x8 - x18*x18 + 2*x18*x22 - x22*x22 + objvar =L= 0; e41.. 2*x4*x9 - x4*x4 - x9*x9 - x18*x18 + 2*x18*x23 - x23*x23 + objvar =L= 0; e42.. 2*x4*x10 - x4*x4 - x10*x10 - x18*x18 + 2*x18*x24 - x24*x24 + objvar =L= 0 ; e43.. 2*x4*x11 - x4*x4 - x11*x11 - x18*x18 + 2*x18*x25 - x25*x25 + objvar =L= 0 ; e44.. 2*x4*x12 - x4*x4 - x12*x12 - x18*x18 + 2*x18*x26 - x26*x26 + objvar =L= 0 ; e45.. 2*x4*x13 - x4*x4 - x13*x13 - x18*x18 + 2*x18*x27 - x27*x27 + objvar =L= 0 ; e46.. 2*x4*x14 - x4*x4 - x14*x14 - x18*x18 + 2*x18*x28 - x28*x28 + objvar =L= 0 ; e47.. 2*x5*x6 - x5*x5 - x6*x6 - x19*x19 + 2*x19*x20 - x20*x20 + objvar =L= 0; e48.. 2*x5*x7 - x5*x5 - x7*x7 - x19*x19 + 2*x19*x21 - x21*x21 + objvar =L= 0; e49.. 2*x5*x8 - x5*x5 - x8*x8 - x19*x19 + 2*x19*x22 - x22*x22 + objvar =L= 0; e50.. 2*x5*x9 - x5*x5 - x9*x9 - x19*x19 + 2*x19*x23 - x23*x23 + objvar =L= 0; e51.. 2*x5*x10 - x5*x5 - x10*x10 - x19*x19 + 2*x19*x24 - x24*x24 + objvar =L= 0 ; e52.. 2*x5*x11 - x5*x5 - x11*x11 - x19*x19 + 2*x19*x25 - x25*x25 + objvar =L= 0 ; e53.. 2*x5*x12 - x5*x5 - x12*x12 - x19*x19 + 2*x19*x26 - x26*x26 + objvar =L= 0 ; e54.. 2*x5*x13 - x5*x5 - x13*x13 - x19*x19 + 2*x19*x27 - x27*x27 + objvar =L= 0 ; e55.. 2*x5*x14 - x5*x5 - x14*x14 - x19*x19 + 2*x19*x28 - x28*x28 + objvar =L= 0 ; e56.. 2*x6*x7 - x6*x6 - x7*x7 - x20*x20 + 2*x20*x21 - x21*x21 + objvar =L= 0; e57.. 2*x6*x8 - x6*x6 - x8*x8 - x20*x20 + 2*x20*x22 - x22*x22 + objvar =L= 0; e58.. 2*x6*x9 - x6*x6 - x9*x9 - x20*x20 + 2*x20*x23 - x23*x23 + objvar =L= 0; e59.. 2*x6*x10 - x6*x6 - x10*x10 - x20*x20 + 2*x20*x24 - x24*x24 + objvar =L= 0 ; e60.. 2*x6*x11 - x6*x6 - x11*x11 - x20*x20 + 2*x20*x25 - x25*x25 + objvar =L= 0 ; e61.. 2*x6*x12 - x6*x6 - x12*x12 - x20*x20 + 2*x20*x26 - x26*x26 + objvar =L= 0 ; e62.. 2*x6*x13 - x6*x6 - x13*x13 - x20*x20 + 2*x20*x27 - x27*x27 + objvar =L= 0 ; e63.. 2*x6*x14 - x6*x6 - x14*x14 - x20*x20 + 2*x20*x28 - x28*x28 + objvar =L= 0 ; e64.. 2*x7*x8 - x7*x7 - x8*x8 - x21*x21 + 2*x21*x22 - x22*x22 + objvar =L= 0; e65.. 2*x7*x9 - x7*x7 - x9*x9 - x21*x21 + 2*x21*x23 - x23*x23 + objvar =L= 0; e66.. 2*x7*x10 - x7*x7 - x10*x10 - x21*x21 + 2*x21*x24 - x24*x24 + objvar =L= 0 ; e67.. 2*x7*x11 - x7*x7 - x11*x11 - x21*x21 + 2*x21*x25 - x25*x25 + objvar =L= 0 ; e68.. 2*x7*x12 - x7*x7 - x12*x12 - x21*x21 + 2*x21*x26 - x26*x26 + objvar =L= 0 ; e69.. 2*x7*x13 - x7*x7 - x13*x13 - x21*x21 + 2*x21*x27 - x27*x27 + objvar =L= 0 ; e70.. 2*x7*x14 - x7*x7 - x14*x14 - x21*x21 + 2*x21*x28 - x28*x28 + objvar =L= 0 ; e71.. 2*x8*x9 - x8*x8 - x9*x9 - x22*x22 + 2*x22*x23 - x23*x23 + objvar =L= 0; e72.. 2*x8*x10 - x8*x8 - x10*x10 - x22*x22 + 2*x22*x24 - x24*x24 + objvar =L= 0 ; e73.. 2*x8*x11 - x8*x8 - x11*x11 - x22*x22 + 2*x22*x25 - x25*x25 + objvar =L= 0 ; e74.. 2*x8*x12 - x8*x8 - x12*x12 - x22*x22 + 2*x22*x26 - x26*x26 + objvar =L= 0 ; e75.. 2*x8*x13 - x8*x8 - x13*x13 - x22*x22 + 2*x22*x27 - x27*x27 + objvar =L= 0 ; e76.. 2*x8*x14 - x8*x8 - x14*x14 - x22*x22 + 2*x22*x28 - x28*x28 + objvar =L= 0 ; e77.. 2*x9*x10 - x9*x9 - x10*x10 - x23*x23 + 2*x23*x24 - x24*x24 + objvar =L= 0 ; e78.. 2*x9*x11 - x9*x9 - x11*x11 - x23*x23 + 2*x23*x25 - x25*x25 + objvar =L= 0 ; e79.. 2*x9*x12 - x9*x9 - x12*x12 - x23*x23 + 2*x23*x26 - x26*x26 + objvar =L= 0 ; e80.. 2*x9*x13 - x9*x9 - x13*x13 - x23*x23 + 2*x23*x27 - x27*x27 + objvar =L= 0 ; e81.. 2*x9*x14 - x9*x9 - x14*x14 - x23*x23 + 2*x23*x28 - x28*x28 + objvar =L= 0 ; e82.. 2*x10*x11 - x10*x10 - x11*x11 - x24*x24 + 2*x24*x25 - x25*x25 + objvar =L= 0; e83.. 2*x10*x12 - x10*x10 - x12*x12 - x24*x24 + 2*x24*x26 - x26*x26 + objvar =L= 0; e84.. 2*x10*x13 - x10*x10 - x13*x13 - x24*x24 + 2*x24*x27 - x27*x27 + objvar =L= 0; e85.. 2*x10*x14 - x10*x10 - x14*x14 - x24*x24 + 2*x24*x28 - x28*x28 + objvar =L= 0; e86.. 2*x11*x12 - x11*x11 - x12*x12 - x25*x25 + 2*x25*x26 - x26*x26 + objvar =L= 0; e87.. 2*x11*x13 - x11*x11 - x13*x13 - x25*x25 + 2*x25*x27 - x27*x27 + objvar =L= 0; e88.. 2*x11*x14 - x11*x11 - x14*x14 - x25*x25 + 2*x25*x28 - x28*x28 + objvar =L= 0; e89.. 2*x12*x13 - x12*x12 - x13*x13 - x26*x26 + 2*x26*x27 - x27*x27 + objvar =L= 0; e90.. 2*x12*x14 - x12*x12 - x14*x14 - x26*x26 + 2*x26*x28 - x28*x28 + objvar =L= 0; e91.. 2*x13*x14 - x13*x13 - x14*x14 - x27*x27 + 2*x27*x28 - x28*x28 + objvar =L= 0; e92.. - x15 + x16 =L= 0; e93.. - x1 + x2 =L= 0; e94.. - x2 + x3 =L= 0; e95.. - x3 + x4 =L= 0; e96.. - x4 + x5 =L= 0; e97.. - x5 + x6 =L= 0; e98.. - x6 + x7 =L= 0; e99.. - x7 + x8 =L= 0; e100.. - x8 + x9 =L= 0; e101.. - x9 + x10 =L= 0; e102.. - x10 + x11 =L= 0; e103.. - x11 + x12 =L= 0; e104.. - x12 + x13 =L= 0; e105.. - x13 + x14 =L= 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; x5.lo = 0.5; x5.up = 1; x6.lo = 0.5; x6.up = 1; x7.lo = 0.5; x7.up = 1; x8.up = 1; x9.up = 1; x10.up = 1; x11.up = 1; x12.up = 1; x13.up = 1; x14.up = 1; x15.up = 1; x16.up = 1; x17.up = 1; x18.up = 1; x19.up = 1; x20.up = 1; x21.up = 1; x22.up = 1; x23.up = 1; x24.up = 1; x25.up = 1; x26.up = 1; x27.up = 1; x28.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% maximizing objvar;
Last updated: 2024-08-26 Git hash: 6cc1607f