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LieDiscover: Adaptive Symbolic Library Construction for Explicit Open-form Symmetry Discovery
Discovering underlying symmetries from data has emerged as a crucial challenge in scientific discovery. Existing data-driven methods for symmetry discovery fail to determine the exact number and mathematical form of unknown infinitesimal generators. Recent explicit methods represent generators using
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