New Monte Carlo Methods for Improved Efficiency of Computer Simulations in Statistical Mechanics

1992 ◽  
pp. 75-91
Author(s):  
Robert H. Swendsen ◽  
Jian-Sheng Wang ◽  
Alan M. Ferrenberg
Keyword(s):  
Monte Carlo ◽  
Statistical Mechanics ◽  
Computer Simulations ◽  
Monte Carlo Methods

Computer simulations of voting systems

2000 ◽  
Vol 03 (01n04) ◽  
pp. 181-194 ◽  
Author(s):  
Dominique Lepelley ◽  
Ahmed Louichi ◽  
Fabrice Valognes
Keyword(s):  
Monte Carlo ◽  
Computer Simulations ◽  
Monte Carlo Methods ◽  
Scoring Rules ◽  
Voting Systems ◽  
Voting Rules ◽  
Asymptotic Case ◽  
Majority Principle ◽  
Voting Procedures ◽  
Democratic Principles

All voting procedures are susceptible to give rise, if not to paradoxes, at least to violations of some democratic principles. In this paper, we evaluate and compare the propensity of various voting rules -belonging to the class of scoring rules- to satisfy two versions of the majority principle. We consider the asymptotic case where the numbers of voters tends to infinity and, for each rule, we study with the help of Monte Carlo methods how this propensity varies as a function of the number of candidates.

scholarly journals Computer simulations for biological aging and sexual reproduction

2001 ◽  
Vol 73 (1) ◽  
pp. 18-32 ◽  
Author(s):  
DIETRICH STAUFFER ◽  
PAULO M.C. DE OLIVEIRA ◽  
SUZANA MOSS DE OLIVEIRA ◽  
THADEU J.P. PENNA ◽  
JORGE S. SÁ MARTINS
Keyword(s):  
Monte Carlo ◽  
Population Dynamics ◽  
Sexual Reproduction ◽  
Computer Simulations ◽  
Computer Model ◽  
Monte Carlo Methods ◽  
Mutation Accumulation ◽  
Biological Aging ◽  
Penna Model ◽  
Theory Of Aging

The sexual version of the Penna model of biological aging, simulated since 1996, is compared here with alternative forms of reproduction as well as with models not involving aging. In particular we want to check how sexual forms of life could have evolved and won over earlier asexual forms hundreds of million years ago. This computer model is based on the mutation-accumulation theory of aging, using bits-strings to represent the genome. Its population dynamics is studied by Monte Carlo methods.

Monte Carlo Methods in Classical Statistical Mechanics

1990 ◽  
pp. 195-228
Author(s):  
Martin Schoen ◽  
Dennis J. Diestler ◽  
John H. Cushman
Keyword(s):  
Monte Carlo ◽  
Statistical Mechanics ◽  
Monte Carlo Methods ◽  
Classical Statistical Mechanics
Sign in / Sign up

Export Citation Format

Share Document