MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance autocorr_bern20-05
degree-four model for low autocorrelated binary sequences
This instance arises in theoretical physics. Determining a ground
state in the so-called Bernasconi model amounts to minimizing a
degree-four energy function over variables taking values in
{+1,-1}. Here, the energy function is expressed in 0/1 variables. The
model contains symmetries, leading to multiple optimum solutions.
| Formatsⓘ | ams gms mod nl osil pip py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -416.00000040 (ANTIGONE) -416.00000040 (BARON) -416.00000010 (COUENNE) -416.00000000 (LINDO) -416.00000000 (PQCR) -416.00000000 (SCIP) -416.00000000 (SHOT) |
| Referencesⓘ | Liers, Frauke, Marinari, Enzo, Pagacz, Ulrike, Ricci-Tersenghi, Federico, and Schmitz, Vera, A Non-Disordered Glassy Model with a Tunable Interaction Range, Journal of Statistical Mechanics: Theory and Experiment, 2010, L05003. |
| Sourceⓘ | POLIP instance autocorrelated_sequences/bernasconi.20.5 |
| Applicationⓘ | Autocorrelated Sequences |
| Added to libraryⓘ | 26 Feb 2014 |
| Problem typeⓘ | MBNLP |
| #Variablesⓘ | 21 |
| #Binary Variablesⓘ | 20 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 20 |
| #Nonlinear Binary Variablesⓘ | 20 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | linear |
| Objective curvatureⓘ | linear |
| #Nonzeros in Objectiveⓘ | 1 |
| #Nonlinear Nonzeros in Objectiveⓘ | 0 |
| #Constraintsⓘ | 1 |
| #Linear Constraintsⓘ | 0 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 1 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | indefinite |
| #Nonzeros in Jacobianⓘ | 21 |
| #Nonlinear Nonzeros in Jacobianⓘ | 20 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 140 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 20 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 20 |
| Average blocksize in Hessian of Lagrangianⓘ | 20.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 1.0000e+00 |
| Maximal coefficientⓘ | 1.2800e+02 |
| Infeasibility of initial pointⓘ | 0 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 1 0 0 1 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 21 1 20 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 21 1 20 0
*
* Solve m using MINLP minimizing objvar;
Variables b1,b2,b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,b17,b18,b19
,b20,objvar;
Binary Variables b1,b2,b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,b17
,b18,b19,b20;
Equations e1;
e1.. 64*b1*b2*b3*b4 + 64*b1*b2*b4*b5 + 128*b2*b3*b4*b5 + 64*b2*b3*b5*b6 + 128*
b3*b4*b5*b6 + 64*b3*b4*b6*b7 + 128*b4*b5*b6*b7 + 64*b4*b5*b7*b8 + 128*b5*
b6*b7*b8 + 64*b5*b6*b8*b9 + 128*b6*b7*b8*b9 + 64*b6*b7*b9*b10 + 128*b7*b8*
b9*b10 + 64*b7*b8*b10*b11 + 128*b8*b9*b10*b11 + 64*b8*b9*b11*b12 + 128*b9*
b10*b11*b12 + 64*b9*b10*b12*b13 + 128*b10*b11*b12*b13 + 64*b10*b11*b13*b14
+ 128*b11*b12*b13*b14 + 64*b11*b12*b14*b15 + 128*b12*b13*b14*b15 + 64*b12
*b13*b15*b16 + 128*b13*b14*b15*b16 + 64*b13*b14*b16*b17 + 128*b14*b15*b16*
b17 + 64*b14*b15*b17*b18 + 128*b15*b16*b17*b18 + 64*b15*b16*b18*b19 + 128*
b16*b17*b18*b19 + 64*b16*b17*b19*b20 + 64*b17*b18*b19*b20 - 32*b1*b2*b3 -
64*b1*b2*b4 - 32*b1*b2*b5 - 32*b1*b3*b4 - 32*b1*b4*b5 - 96*b2*b3*b4 - 96*
b2*b3*b5 - 32*b2*b3*b6 - 96*b2*b4*b5 - 32*b2*b5*b6 - 128*b3*b4*b5 - 96*b3*
b4*b6 - 32*b3*b4*b7 - 96*b3*b5*b6 - 32*b3*b6*b7 - 128*b4*b5*b6 - 96*b4*b5*
b7 - 32*b4*b5*b8 - 96*b4*b6*b7 - 32*b4*b7*b8 - 128*b5*b6*b7 - 96*b5*b6*b8
- 32*b5*b6*b9 - 96*b5*b7*b8 - 32*b5*b8*b9 - 128*b6*b7*b8 - 96*b6*b7*b9 -
32*b6*b7*b10 - 96*b6*b8*b9 - 32*b6*b9*b10 - 128*b7*b8*b9 - 96*b7*b8*b10 -
32*b7*b8*b11 - 96*b7*b9*b10 - 32*b7*b10*b11 - 128*b8*b9*b10 - 96*b8*b9*b11
- 32*b8*b9*b12 - 96*b8*b10*b11 - 32*b8*b11*b12 - 128*b9*b10*b11 - 96*b9*
b10*b12 - 32*b9*b10*b13 - 96*b9*b11*b12 - 32*b9*b12*b13 - 128*b10*b11*b12
- 96*b10*b11*b13 - 32*b10*b11*b14 - 96*b10*b12*b13 - 32*b10*b13*b14 - 128
*b11*b12*b13 - 96*b11*b12*b14 - 32*b11*b12*b15 - 96*b11*b13*b14 - 32*b11*
b14*b15 - 128*b12*b13*b14 - 96*b12*b13*b15 - 32*b12*b13*b16 - 96*b12*b14*
b15 - 32*b12*b15*b16 - 128*b13*b14*b15 - 96*b13*b14*b16 - 32*b13*b14*b17
- 96*b13*b15*b16 - 32*b13*b16*b17 - 128*b14*b15*b16 - 96*b14*b15*b17 - 32
*b14*b15*b18 - 96*b14*b16*b17 - 32*b14*b17*b18 - 128*b15*b16*b17 - 96*b15*
b16*b18 - 32*b15*b16*b19 - 96*b15*b17*b18 - 32*b15*b18*b19 - 128*b16*b17*
b18 - 96*b16*b17*b19 - 32*b16*b17*b20 - 96*b16*b18*b19 - 32*b16*b19*b20 -
96*b17*b18*b19 - 32*b17*b18*b20 - 64*b17*b19*b20 - 32*b18*b19*b20 + 32*b1*
b2 + 24*b1*b3 + 32*b1*b4 + 24*b1*b5 + 64*b2*b3 + 80*b2*b4 + 64*b2*b5 + 24*
b2*b6 + 96*b3*b4 + 104*b3*b5 + 64*b3*b6 + 24*b3*b7 + 128*b4*b5 + 104*b4*b6
+ 64*b4*b7 + 24*b4*b8 + 128*b5*b6 + 104*b5*b7 + 64*b5*b8 + 24*b5*b9 + 128
*b6*b7 + 104*b6*b8 + 64*b6*b9 + 24*b6*b10 + 128*b7*b8 + 104*b7*b9 + 64*b7*
b10 + 24*b7*b11 + 128*b8*b9 + 104*b8*b10 + 64*b8*b11 + 24*b8*b12 + 128*b9*
b10 + 104*b9*b11 + 64*b9*b12 + 24*b9*b13 + 128*b10*b11 + 104*b10*b12 + 64*
b10*b13 + 24*b10*b14 + 128*b11*b12 + 104*b11*b13 + 64*b11*b14 + 24*b11*b15
+ 128*b12*b13 + 104*b12*b14 + 64*b12*b15 + 24*b12*b16 + 128*b13*b14 + 104
*b13*b15 + 64*b13*b16 + 24*b13*b17 + 128*b14*b15 + 104*b14*b16 + 64*b14*
b17 + 24*b14*b18 + 128*b15*b16 + 104*b15*b17 + 64*b15*b18 + 24*b15*b19 +
128*b16*b17 + 104*b16*b18 + 64*b16*b19 + 24*b16*b20 + 96*b17*b18 + 80*b17*
b19 + 32*b17*b20 + 64*b18*b19 + 24*b18*b20 + 32*b19*b20 - 24*b1 - 52*b2 -
76*b3 - 104*b4 - 128*b5 - 128*b6 - 128*b7 - 128*b8 - 128*b9 - 128*b10 -
128*b11 - 128*b12 - 128*b13 - 128*b14 - 128*b15 - 128*b16 - 104*b17 - 76*
b18 - 52*b19 - 24*b20 - objvar =L= 0;
Model m / all /;
m.limrow=0; m.limcol=0;
m.tolproj=0.0;
$if NOT '%gams.u1%' == '' $include '%gams.u1%'
$if not set MINLP $set MINLP MINLP
Solve m using %MINLP% minimizing objvar;
Last updated: 2025-08-07 Git hash: e62cedfc

