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Reconstruction of Unknown Properties of Seismic Flows

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Parallel Processing and Applied Mathematics (PPAM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2328))

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Abstract

The problem of detecting chaotic behavior in real and synthetic earthquake flows is investigated. Time series for earthquake catalogs are constructed and processed to reconstruct properties of attractors of corresponding dynamical systems. The main idea of the reconstruction technique is to embed the phase space of a system into the so-called delay-coordinate space. Different ways of forming input data sequences are discussed. Comparative analysis of numerical results for real and synthetic catalogs is carried out. The synthetic catalog is obtained by means of the block models of lithosphere dynamics.

The work was supported by IIASA, the ISTC project 99-1293, the CRDF project RG-2237, the RFBR project 00-01-00222, and the Russian program for support of leading scientific schools, project 00-15-96086.

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References

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Author information

Authors and Affiliations

  1. Institute of Mathematics and Mechanics, Ekaterinburg, 620219, Russia

    Ekaterina Vasilyeva & Valerii Rozenberg

Authors
  1. Ekaterina Vasilyeva
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  2. Valerii Rozenberg
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computer Science, Technical University of Czestochowa, Dabrowskiego 73, 42-200, Czestochowa, Poland

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, 122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

    Jack Dongarra

  3. Computer Science Department, Oklahoma State University, 700 N. Greenwood Ave., Tulsa, OK, 74106, USA

    Marcin Paprzycki

  4. DTU, UNI-C, Danish Computing Centre for Research and Education, Bldg. 304, 2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2002 Springer-Verlag Berlin Heidelberg

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Vasilyeva, E., Rozenberg, V. (2002). Reconstruction of Unknown Properties of Seismic Flows. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_86

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  • DOI: https://doi.org/10.1007/3-540-48086-2_86

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43792-5

  • Online ISBN: 978-3-540-48086-0

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