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Archivio della ricerca- Università di Roma La Sapienza
Article . 2001
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Genetic algorithms, pseudo random numbers generators and Markov Chain Monte Carlo methods

Genetic algorithms, pseudo-random numbers generators, and Markov chain Monte Carlo methods
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2001 Italy Publisher:Springer, Milan; Sapienza Universitá di Roma, Rome
Authors: BATTAGLIA, Francesco;

handle: 11573/38155

Genetic algorithms, pseudo random numbers generators and Markov Chain Monte Carlo methods

Abstract

presented at the Conference SCO99, 1999 Venice

presentato al Convegno SCO99, Venezia 1999

Country
Italy
Related Organizations
Keywords

convergence, Bayesian inference, Markov chain Monte Carlo methods, genetic algorithm, Monte Carlo methods, Numerical analysis or methods applied to Markov chains, Random number generation in numerical analysis, pseudo-random samples generation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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