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arXiv 2003.06475math.NAcs.NA
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压缩等几何分析

Compressive Isogeometric Analysis

Simone Brugiapaglia, Lorenzo Tamellini, Mattia Tani

摘要:

本文针对等几何分析法求解偏微分方程时,中高次B样条函数在构造Galerkin矩阵时遇到的困难,提出了一种基于等几何分析的求解方法。为了缓解这个问题,我们提出了一种新的方法CossIGA(COmpreSSive IsoGeometric Analysis),它结合了IGA原则与CORSING,最近推出的基于压缩感知的PDE稀疏恢复方法。CossIGA仅组装合适的IGA Petrov-Galerkin离散化的一小部分,并且只要PDE解足够稀疏或可压缩,即,当它的大多数系数为零或可忽略时。的稀疏性的解决方案是促进采用B样条的多级字典,而不是一个基础。由于稀疏性和事实上,只有一小部分的完整的离散矩阵组装,所提出的技术有可能导致显着的计算节省。通过大量的数值计算,证明了CossIGA在求解二维和三维非平凡几何泊松方程中的有效性.

英文摘要:

This work is motivated by the difficulty in assembling the Galerkin matrix when solving Partial Differential Equations (PDEs) with Isogeometric Analysis (IGA) using B-splines of moderate-to-high polynomial degree. To mitigate this problem, we propose a novel methodology named CossIGA (COmpreSSive IsoGeometric Analysis), which combines the IGA principle with CORSING, a recently introduced sparse recovery approach for PDEs based on compressive sensing. CossIGA assembles only a small portion of a suitable IGA Petrov-Galerkin discretization and is effective whenever the PDE solution is sufficiently sparse or compressible, i.e., when most of its coefficients are zero or negligible. The sparsity of the solution is promoted by employing a multilevel dictionary of B-splines as opposed to a basis. Thanks to sparsity and the fact that only a fraction of the full discretization matrix is assembled, the proposed technique has the potential to lead to significant computational savings. We show the effectiveness of CossIGA for the solution of the 2D and 3D Poisson equation over nontrivial geometries by means of an extensive numerical investigation.

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