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The PCD Method

机译:PCD方法

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摘要

We propose in this contribution a new BVP discretization method which represents the unknown distribution as well as its derivatives by piecewise constant distributions (PCD) but on distinct meshes. Once the meshes are chosen, it is relatively straightforward to define an approximate variational formulation of the BVP on the associated PCD spaces and hence to derive the discrete equations. We end with the same scheme as the corner mesh box method and we display a precise relation between the exact solution and our approximation, which holds in the absence of absorption. We also compare these results with other approaches using a mixed variational formulation of the same BVP and sharing with our method the use of several meshes. We show that PCD approximations can also be used in this context leading, on rectangular meshes, to the same scheme as the centered box method.
机译:我们提出了这一贡献,通过分段恒定分布(PCD),这是一种新的BVP离散化方法,它代表了未知的分布以及其衍生物,而是在不同的网格上。一旦选择网格,它相对简单,用于在相关的PCD空间上定义BVP的近似变化制剂,从而导出离散方程。我们以与角网盒方法相同的方案结束,我们在确切的解决方案和近似之间显示了精确的关系,在没有吸收的情况下保持。我们还使用相同BVP的混合变分制配方与其他方法进行比较这些结果,并与我们的方法使用多个网格来分享。我们表明PCD近似也可以在此上下文上导致矩形网格,与中心框方法相同的方案。

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