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The Floating Random Walk and Its Application to Monte Carlo Solutions of Heat Equations

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1966

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Previous article Next article The Floating Random Walk and Its Application to Monte Carlo Solutions of Heat EquationsA. Haji-Sheikh and E. M. SparrowA. Haji-Sheikh and E. M. Sparrowhttps://doi.org/10.1137/0114031PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] L. Rayleigh, On James Bernoulli's theorem in probabilities, Philos. Mag., 47 (1899), 246–251 CrossrefGoogle Scholar[2] H. Lewy, , R. Courant and , K. Friedrichs, Über die partiellen Differenzengleichungen der mathematischen Physik, Math. Ann., 100 (1928), 32–74 10.1007/BF01448839 MR1512478 CrossrefGoogle Scholar[3] John Todd, Experiments in the solution of differential equations by Monte Carlo methods, J. Washington Acad. Sci., 44 (1954), 377–381 MR0067584 0059.11101 Google Scholar[4] Louis W. Ehrlich, Monte Carlo solutions of boundary value problems involving the difference analogue of $\partial \sp{2}u/\partial x\sp{2} +\partial \sp{2}u/\partial y\sp{2}+Ky\sp{-1}\partial u/\partial y=0$, J. Assoc. Comput. Mach., 6 (1959), 204–218 MR0102163 0085.33503 CrossrefISIGoogle Scholar[5] John H. Curtiss, Sampling methods applied to differential and difference equations, Proceedings, Seminar on Scientific Computation, November, 1949, International Business Machines Corp., New York, N. Y., 1950, 87–109 MR0043564 Google Scholar[6] W. Feller, An Introduction to Probability Theory and Its Applications, Vol. 1, John Wiley, New York, 1964 0115.35308 Google Scholar[7] J. M. Hammersley and , D. C. Handscomb, Monte Carlo methods, Methuen & Co. Ltd., London, 1965vii+178 MR0223065 0121.35503 Google Scholar[8] S. Chandresekhar, Stochastic problems in physics and astronomy, Rev. Modern Phys., 15 (1943), 1–89 10.1103/RevModPhys.15.1 MR0008130 0061.46403 CrossrefGoogle Scholar[9] Mervin E. Muller, Some continuous Monte Carlo methods for the Dirichlet problem, Ann. Math. Statist., 27 (1956), 569–589 MR0088786 0075.28902 CrossrefISIGoogle Scholar[10] A. Haji-Sheikh, Ph.D. Thesis, Application of Monte Carlo methods to thermal conduction problems, University of Minnesota, Minneapolis, 1965 Google Scholar[11] Wolfgang Wasow, On the mean duration of random walks, J. Research Nat. Bur. Standards, 46 (1951), 462–471 MR0047962 CrossrefISIGoogle Scholar[12] V. D. Barnett, The behavior of pseudo-random sequences generated on computers by the multiplicative congruential method, Math. Comp., 16 (1962), 63–69 MR0136046 0108.13701 CrossrefGoogle Scholar[13] B. W. Lindgren, Statistical theory, The Macmillan Co., New York, 1962xii+427 MR0143273 Google Scholar[14] E. M. Sparrow, Temperature distribution in an internally cooled heat-generating solid, J. Heat Transfer, 82 (1960), 389–392 CrossrefGoogle Scholar[15] H. S. Carslaw and , T. C. Jaeger, Conduction of Heat in Solids, Oxford University Press, London, 1959 Google Scholar Previous article Next article FiguresRelatedReferencesCited ByDetails Monte Carlo Method for Solving PDEMonte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation | 3 September 2022 Cross Ref GPU-Friendly FRW Algorithms for Electrostatic Computation ProblemsMonte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation | 3 September 2022 Cross Ref A Hybrid Random Walk Algorithm for 3-D Thermal AnalysisMonte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation | 3 September 2022 Cross Ref Solving transient coupled conductive and radiative transfers in porous media with a Monte Carlo Method: Characterization of thermal conductivity of foams using a numerical Flash MethodInternational Journal of Thermal Sciences, Vol. 179 | 1 Sep 2022 Cross Ref Stochastic Simulation 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