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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.
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CITATION
Kevin Amaratunga, "A Wavelet-Based Approach for Compressing Kernel Data in Large-Scale Simulations of 3D Integral Problems", Computing in Science & Engineering, vol. 2, no. , pp. 34-45, July/August 2000, doi:10.1109/5992.852389
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