Cost-Aware Maximum Finding — a threshold-based approach to reduce expensive post-processing
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Updated
Sep 16, 2025 - Jupyter Notebook
Cost-Aware Maximum Finding — a threshold-based approach to reduce expensive post-processing
A non-standard, fractal-inspired sorting algorithm with adaptive multi-pivot partitioning and k-way heap merging. Achieves near O(n log log n) performance in ideal cases.
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