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Monte Carlo Sampling in Fractal Landscapes

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Record title

Monte Carlo Sampling in Fractal Landscapes

Record identifier

TN_cdi_proquest_journals_2085311112

Monte Carlo Sampling in Fractal Landscapes

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https://collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2085311112

Monte Carlo Sampling in Fractal Landscapes

Full title

Monte Carlo Sampling in Fractal Landscapes

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2013

Record Identifier

TN_cdi_proquest_journals_2085311112

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

SCOPE AND CONTENTS

Contents

We propose a flat-histogram Monte Carlo method to efficiently sample fractal landscapes such as escape time functions of open chaotic systems. This is achieved by using a random-walk step which depends on the height of the landscape via the largest Lyapunov exponent of the associated chaotic system. By generalizing the Wang-Landau algorithm, we obt...

ALTERNATIVE TITLES

Full title

Monte Carlo Sampling in Fractal Landscapes

AUTHORS, ARTISTS AND CONTRIBUTORS

Identifiers

PRIMARY IDENTIFIERS

Record Identifier

TN_cdi_proquest_journals_2085311112

Permalink

https://collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2085311112

OTHER IDENTIFIERS

E-ISSN

2331-8422

DOI

10.1103/PhysRevLett.110.220601

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