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Two variants of Monte Carlo projection method for numerical solution of nonlinear Boltzmann equation

机译:非线性Boltzmann方程数值解的蒙特卡罗投影方法的两个变体

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The paper is focused on justification of a statistical modelling algorithm for solution of the nonlinear kinetic Boltzmann equation on the base of a projection method. Hermite functions are used as an orthonormal basis. The error of approximation of a function by a partial sum of Hermite functions series is estimated in the L-2 norm. The estimates are compared for two variants of the projection method in the case of solutions to the homogeneous gas relaxation problem with a known solution.
机译:本文专注于统计建模算法的统计建模算法,用于解决投影方法基部的非线性动力学玻璃钢板方程的解。 Hermite功能用作正常的基础。通过Hermite函数系列部分和函数近似函数的误差估计在L-2标准中。将估计与均已知溶液的均匀气体松弛问题的解决方案的溶解情况进行比较。

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