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A Fast and Stable Multi-Level Solution Technique for the Method of Fundamental Solutions

机译:基本解决方案方法的快速稳定的多级解决方案技术

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The classical form of the Method of Fundamental Solutions is applied. Instead of using a single set of subtly located external sources, a special strategy of defining several sets of external source points is introduced. The sets of sources are defined by the quadtree/octtree subdivision technique controlled by the boundary collocation points in a completely automatic way, resulting in a point set, the density of the spatial distribution of which decreases quickly far from the boundary. The 'far' sources are interpreted to form a 'coarse grid', while the densely distributed 'near-boundary' sources are considered a 'fine grid' (despite they need not to have any grid structure). Based on this classification, a multi-level technique is built up, where the smoothing procedure is defined by performing some familiar iterative technique e.g. the (conjugate) gradient method. The approximate solutions are calculated by enforcing the boundary conditions in the sense of least squares. The resulting multi-level method is robust and significantly reduces the computational cost. No weakly or strongly singular integrals have to be evaluated. Moreover, the problem of severely ill-conditioned matrices is completely avoided.
机译:应用基本解决方案方法的经典形式。介绍了引入了定义几组外部源点的特殊策略而不是使用单个小巧的外部源。这些源集由由边界搭配点控制的Quadtree / Octtree细分技术以完全自动的方式控制,导致点集,其空间分布的密度远离边界的快速减小。 “远”来源被解释为形成一个“粗网格”,而密集分布的“近边界”源被认为是“精细网格”(尽管他们不需要有任何网格结构)。基于该分类,建立了多级技术,其中通过执行一些熟悉的迭代技术来定义平滑过程。 (共轭)梯度法。通过在最小二乘法中强制实施边界条件来计算近似解。由此产生的多级方法是坚固的,并且显着降低计算成本。没有弱或强烈的奇异积分必须进行评估。此外,完全避免了严重不良矩阵的问题。

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