Alternative techniques for cluster labelling on percolation theory

Journal of Physics A: Mathematical and General

Volumn 33, Issue 9, 2000, Pages 1827-1840

  Martin Herrero J ^a   Peon Fernandez J ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0034628758     PISSN: 03054470     EISSN: None     Source Type: Journal    
DOI: 10.1088/0305-4470/33/9/308     Document Type: Article

References (7)

1. Gould H and Tobochnik S 1996 An Introduction to Computer Simulation Methods: Applications to Physical Systems vol 2, 2nd edn (New York: Addison-Wesley)
2. Hoshen J, Berry M W and Minser K S 1997 Percolation and cluster structure parameters: the enhanced Hoshen-Kopelman algorithm Phys. Rev. E 56 1455
3. Hoshen J and Kopelman R 1976 Percolation and cluster distribution. Cluster multiple labelling technique and critical concentration algorithm Phys. Rev. B 14 3438
4. Press W H, Teukolsky S A, Vetterling W T and Flannery B P 1992 Numerical Recipes in C 2nd edn (Cambridge: Cambridge University Press) pp 332-8
5. Rapaport D C 1985 J. Phys. A: Math. Gen. 18 L175
6. Reynolds D J, Stanley H E and Klein W 1980 Large cell Monte Carlo renormalization group for percolation Phys. Rev. B 21 1223
7. Stauffer D and Aharony A 1994 Introduction to Percolation Theory (London: Taylor and Francis) A FORTRAN implementation of the H-K algorithm is given in the appendix