Now showing items 1-2 of 2

    • A Monte Carlo Method for Fluid Simulation 

      Rioux-Lavoie, Damien; Sugimoto, Ryusuke; Ozdemir, Tumay; Shimada, Naoharu H.; Batty, Christopher; Nowrouzezahrai, Derek; Hachisuka, Toshiya (Association for Computing Machinery, 2022-12)
      We present a novel Monte Carlo-based fluid simulation approach capable of pointwise and stochastic estimation of fluid motion. Drawing on the Feynman-Kac representation of the vorticity transport equation, we propose a ...
    • Regression-based Monte Carlo Integration 

      Salaun, Corentin; Gruson, Adrien; Hua, Binh-Son; Hachisuka, Toshiya; Singh, Gurprit (Association for Computing Machinery, 2022-07)
      Monte Carlo integration is typically interpreted as an estimator of the expected value using stochastic samples. There exists an alternative interpretation in calculus where Monte Carlo integration can be seen as estimating ...


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