Title :
A wavelet-based approach for compressing kernel data in large-scale simulations of 3D integral problems
Author :
Amaratunga, Kevin
Author_Institution :
Dept. of Civil & Environ. Eng., MIT, Cambridge, MA, USA
Abstract :
Second-generation surface wavelets can be an effective tool for compressing integral operator matrices arising from large-scale simulations of 3D problems. The author´s approach generalizes previously reported results on wavelet-based operator compression to nonuniform grids and fairly general domains
Keywords :
data compression; digital simulation; engineering computing; integral equations; mathematics computing; matrix algebra; wavelet transforms; 3D integral problems; integral operator matrices; kernel data compression; large-scale simulations; nonuniform grids; second-generation surface wavelets; three dimensional integral problems; wavelet-based approach; wavelet-based operator compression; Acoustical engineering; Computational modeling; Data engineering; Electrostatics; Integral equations; Kernel; Large-scale systems; Surface acoustic waves; Surface waves; Wavelet domain;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/5992.852389
