Abstract <p>In the article, interpolation-based and mosaic-skeleton approaches for solving the problem of the potential flow of a plate are compared. They compress a dense matrix of a linear system, arising in the collocation method on the non-uniform grid. The first method relies on Fast Fourier Transform and linear interpolation from an additional uniform grid. The second uses block low-rank approximation of a matrix. Both techniques demonstrate effectiveness in time and memory but distinguish different structures in a matrix, which affects the solution of a linear system. In our implementation, the mosaic-skeleton method solves the problem quicker than its competitor. Still, it consumes more memory, and its duration grows more significantly with an increase in the size of a system.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Comparison of Interpolation-Based and Mosaic-Skeleton Methods for Solving Integral Equations with a Convolutional Kernel

  • A. O. Gladkov,
  • B. I. Valiakhmetov,
  • E. E. Tyrtyshnikov,
  • A. B. Samokhin

摘要

Abstract

In the article, interpolation-based and mosaic-skeleton approaches for solving the problem of the potential flow of a plate are compared. They compress a dense matrix of a linear system, arising in the collocation method on the non-uniform grid. The first method relies on Fast Fourier Transform and linear interpolation from an additional uniform grid. The second uses block low-rank approximation of a matrix. Both techniques demonstrate effectiveness in time and memory but distinguish different structures in a matrix, which affects the solution of a linear system. In our implementation, the mosaic-skeleton method solves the problem quicker than its competitor. Still, it consumes more memory, and its duration grows more significantly with an increase in the size of a system.