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Optimizing Local Estimates of the Monte Carlo Method for Problems of Laser Sensing of Scattering Media

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Topics in Statistical Simulation

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 114))

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Abstract

New algorithms for optimizing local estimates of the Monte Carlo method for solving nonstationary problems of laser sensing of natural media are constructed. To decrease the computational cost of the algorithms an optimization of local estimates is proposed based upon the “splitting” method. A series of numerical experiments was carried out, illustrating the effectiveness of the proposed optimization.

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References

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Acknowledgements

The work is partly supported by Integrational Project SB RAS No. 52, RAS Presidium Project No. 15.9-1 and the Program “Leading Scientific Schools” (grant SS-5111.2014.1).

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Authors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics SB RAS, pr. ak. Lavrentieva 6, Novosibirsk, 630090, Russia

    Evgeniya Kablukova & Boris Kargin

  2. Novosibirsk National Research State University, Pirogova str. 2, Novosibirsk, 630090, Russia

    Boris Kargin

Authors
  1. Evgeniya Kablukova
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  2. Boris Kargin
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Corresponding author

Correspondence to Evgeniya Kablukova .

Editor information

Editors and Affiliations

  1. St.Petersburg State University, St.Petersburg, Russia

    V.B. Melas

  2. University of Bologna, Rimini, Italy

    Stefania Mignani

  3. University of Bologna, Rimini, Italy

    Paola Monari

  4. University of Padova, Padova, Italy

    Luigi Salmaso

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Kablukova, E., Kargin, B. (2014). Optimizing Local Estimates of the Monte Carlo Method for Problems of Laser Sensing of Scattering Media. In: Melas, V., Mignani, S., Monari, P., Salmaso, L. (eds) Topics in Statistical Simulation. Springer Proceedings in Mathematics & Statistics, vol 114. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2104-1_29

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