Non-periodic pseudo-random numbers used in Monte Carlo calculations
Creators
- 1. Instituto de Fsica 'Gleb Wataghin', UNICAMP, 13087-970 Campinas, SP (Brazil)
Description
The generation of pseudo-random numbers is one of the interesting problems in Monte Carlo simulations, mostly because the common computer generators produce periodic numbers. We used simple pseudo-random numbers generated with the simplest chaotic system, the logistic map, with excellent results. The numbers generated in this way are non-periodic, which we demonstrated for 1013 numbers, and they are obtained in a deterministic way, which allows to repeat systematically any calculation. The Monte Carlo calculations are the ideal field to apply these numbers, and we did it for simple and more elaborated cases. Chemistry and Information Technology use this kind of simulations, and the application of this numbers to quantum Monte Carlo and cryptography is immediate. I present here the techniques to calculate, analyze and use these pseudo-random numbers, show that they lack periodicity up to 1013 numbers and that they are not correlated
Additional details
Identifiers
- DOI
- 10.1016/j.physb.2007.04.088;
- arXiv
- arXiv:cond-mat/0701099v1;
- PII
- S0921-4526(07)00342-0;
Publishing Information
- Journal Title
- Physica. B, Condensed Matter
- Journal Volume
- 398
- Journal Issue
- 2
- Journal Page Range
- p. 468-471
- ISSN
- 0921-4526
- CODEN
- PHYBE3
Conference
- Title
- New trends in structural, electronic and magnetic properties of matter
- Acronym
- Workshop on at the frontiers of condensed matter III
- Dates
- 11-15 Dec 2006
- Place
- Buenos Aires (Argentina)
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 38106648
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CHAOS THEORY; CHEMISTRY; COMPUTERIZED SIMULATION; COMPUTERS; CRYPTOGRAPHY; MATHEMATICAL MODELS; MONTE CARLO METHOD; PERIODICITY; RANDOMNESS
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICS; SIMULATION; VARIATIONS
Optional Information
- Copyright
- Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.