G-P Algorithm for Embedding Dimension
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After extensive debugging and optimization, we have successfully developed the G-P algorithm for determining embedding dimension. This algorithm can be conveniently applied to real-world scenarios and demonstrates broad applicability across various domains. Notably, we have incorporated several advanced features into the implementation, including adaptive weighting mechanisms and convergence acceleration techniques, which significantly improve the algorithm's performance and computational efficiency. The core implementation involves time-series reconstruction using delay coordinates, where the algorithm automatically calculates the optimal embedding dimension through correlation integral analysis. We are confident that this enhanced algorithm will play a crucial role in future research and provide substantial benefits for practical applications across multiple industries.
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