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arXiv math/0605677math.NAcs.NAmath-phmath.MP
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哪种网格条件更好:自适应、均匀、局部细化或局部化

Which are Better Conditioned Meshes Adaptive, Uniform, Locally Refined or Localised

Sanjay Kumar Khattri, Gunnar Fladmark

AI总结:

本文通过比较相同自由度下不同网格(自适应、均匀、局部细化和局部化)的矩阵条件数,发现自适应网格对应的方程组更易求解。

摘要:

自适应、局部细化和局部调整的网格比均匀网格更适用于捕捉奇异或局部化解。粗略地说,对于给定的自由度,与自适应、局部细化和局部调整网格相关的解比均匀网格给出的解更精确。在这项工作中,我们回答了哪种网格条件更好的问题。我们发现,在自由度大致相同(矩阵大小相同)的情况下,求解与自适应网格相关的方程组更容易。

英文摘要:

Adaptive, locally refined and locally adjusted meshes are preferred over uniform meshes for capturing singular or localised solutions. Roughly speaking, for a given degree of freedom a solution associated with adaptive, locally refined and locally adjusted meshes is more accurate than the solution given by uniform meshes. In this work, we answer the question which meshes are better conditioned. We found, for approximately same degree of freedom (same size of matrix), it is easier to solve a system of equations associated with an adaptive mesh.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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