Adding an annealing step that reactivates removed dictionary terms lowers coefficient error for SINDy and hard thresholding pursuit on several nonlinear benchmarks, with mixed gains on experimental projectile data.
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Optimizing Hard Thresholding for Sparse Model Discovery
Adding an annealing step that reactivates removed dictionary terms lowers coefficient error for SINDy and hard thresholding pursuit on several nonlinear benchmarks, with mixed gains on experimental projectile data.