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Solution of one mixed problem for equation of relaxational filtration by Monte Carlo methods

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Advances in High Performance Computing and Computational Sciences

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References

  1. Molokovich YuM, Osipov PP (1987) Basics of relaxation filtration theory. Kazan University Publishing House, Kazan (in Russian)

    Google Scholar 

  2. Elepov BS, Kronberg AA, Mikhailov GA, Sabelfeld KK (1980) Solving of boundary problems by Monte Carlo methods. Nauka, Novosibirsk (in Russian)

    Google Scholar 

  3. Ermakov SM, Nekrutkin VV, Sipin AS (1984) Random processes for solving the classical equations of mathematical physics. Nauka, Moskow (in Russian)

    Google Scholar 

  4. Haji-Sheikh A, Sparrow EM (1966) SIAM J Appl Math 14(2):370–389

    Article  MathSciNet  Google Scholar 

  5. Haji-Sheikh A (1965) Application of Monte Carlo methods to thermal coduction problems. Ph.D. Thesis, University of Minnesota, Minneapolis

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  6. Lindgren B (1962) Statistical Theory. Macmillan, New York

    MATH  Google Scholar 

  7. Shakenov KK, Musataeva GT (2005) Bulletin of Kazakh National University, series: mathematics, mechanics, informatics 1(44):51–58 (in Russian)

    Google Scholar 

  8. Shakenov KK (2002) Comput Technol 7(3):93–97 (in Russian)

    MATH  MathSciNet  Google Scholar 

  9. Ermakov SM, Shakenov KK (1986) Bulletin of Leningrad State University, series: mathematics, mechanics, astronomy: p. 14 ((VINITI) Deposit, No. 6267-B86) (in Russian)

    Google Scholar 

  10. Kushner H (1977) Probability methods of approximations in stochastic control and for elliptic equations. Academic Press, New York, San-Francisco, London

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Shakenov, K. (2006). Solution of one mixed problem for equation of relaxational filtration by Monte Carlo methods. In: Shokin, Y., Resch, M., Shokina, N., Danaev, N., Orunkhanov, M. (eds) Advances in High Performance Computing and Computational Sciences. Notes on Numerical Fluid Mechanics and Multidisciplinary Design (NNFM), vol 93. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-33844-4_16

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  • DOI: https://doi.org/10.1007/978-3-540-33844-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33864-2

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