Computational methods inspired by Tsallis statistics: Monte Carlo and molecular dynamics algorithms for the simulation of classical and quantum systems

Brazilian Journal of Physics

Volumn 29, Issue 1, 1999, Pages 179-186

  Straub, John E ^a,b   Andricioaei, Ioan ^a,c  

^a Boston University   (United States)

^b HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^c HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033242950     PISSN: 01039733     EISSN: None     Source Type: Journal    
DOI: 10.1590/S0103-97331999000100016     Document Type: Review

References (8)

1. 1. C. Tsallis, J. Stat. Phys. 52, 479 (1988).
2. 2. E.M.F. Curado and C. Tsallis. J. Phys. A: Math. Gen. 24, L69 (1991).
3. 3. A. Wehrl, Rev. Mod. Phys. 50, 221 (1970); Z. Daróczy, Inf. Control 16, 36 (1970).
4. 3. A. Wehrl, Rev. Mod. Phys. 50, 221 (1970); Z. Daróczy, Inf. Control 16, 36 (1970).
5. 4. C. Tsallis, Phys. Rev. Lett. 75, 3589 (1995). See also http://tsallis.cat.chpf.br.
6. 5. J.E. Straub and I. Andricioaei. Exploiting Tsallis statistics. In P. Deuflhard, J. Hermans, B. Leimkuhler, A. Mark, S. Reich and R. D. Skee, editors, Algorithms for Macromolecular Modeling (Lecture Notes in Computational Science and Engineering). vol. 4, page 189. Springer Verlag, 1998.
7. 6. I. Andricioaei and J.E. Straub, J. Chem. Phys. 107, 9117 (1997).
8. 7. B.J. Berne and J.E. Straub, Curr. Opin. Struc. Bio. 7, 181 (1997).