带矩阵缩放的一维传输方程的响应矩阵基准

B. D. Ganapol, J. K. Patel
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引用次数: 0

摘要

线性一维输运方程可能是辐射传递和中子输运研究中求解最多的输运方程。几乎所有可以想象到的方法都被用来求解,包括拉普拉斯变换和傅里叶变换、奇异特征函数、奇异积分方程的求解、PN 展开、双 PN 展开、切比切夫展开、拉格朗日积分展开、有限差分数值离散序数法、分析离散序数法、有限元法、积分方程求解、加法和倍增、不变嵌入、里卡提方程求解和响应矩阵法--以及作者可能不知道的更多方法。在列出的方法中,一维传输方程离散序数形式的响应矩阵解法可以说是最简单、最直接的。在这里,我们提出了另一种指数响应解法,不过是通过矩阵缩放来求解一阶方程。
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Response Matrix Benchmark for the 1D Transport Equation with Matrix Scaling
The linear 1D transport equation is likely the most solved transport equation in radiative transfer and neutron transport investigations. Nearly every method imaginable has been applied to establish solutions, including Laplace and Fourier transforms, singular eigenfunctions, solutions of singular integral equation, PN expansions, double PN expansions, Chebychev expansions, Lagrange polynomial expansions, numerical discrete ordinates with finite difference, analytical discrete ordinates, finite elements, solutions to integral equations, adding and doubling, invariant imbedding, solution of Ricatti equations and response matrix methods -- and probably more methods of which the authors are unaware. Of those listed, the response matrix solution to the discrete ordinates form of the 1D transport equation is arguably the simplest and most straightforward. Here, we propose another response of exponential solutions but to the first order equation enabled by matrix scaling.
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