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.
This includes determining the eigenvalues λ and corresponding eigenvectors u, which are discrete approximations of the eigenfunctions of the original differential equation
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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.