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.
Essentially, this maps the operator from an infinite-dimensional Hilbert space to a finite-dimensional representation
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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.