SCSF accelerates eigenvalue dataset generation up to 3.5 times by grouping operators with similar spectra via truncated FFT sorting and reusing eigenpairs through Chebyshev subspace filters.
The grid could be composed of various shapes, including squares, triangles, or more complex forms, depending on the problem’s geometry
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Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
SCSF accelerates eigenvalue dataset generation up to 3.5 times by grouping operators with similar spectra via truncated FFT sorting and reusing eigenpairs through Chebyshev subspace filters.