Explains a greedy algorithm to convert dense tile-based collision maps into optimized axis-aligned rectangles for efficient runtime collision detection.
Explains Montgomery's trick for efficiently computing multiple modular inverses at once, with Python code examples and performance comparison.
A walkthrough of solving the 'Pyramid Slide Down' coding problem using dynamic programming, starting from the bottom up.
Analyzes performance bottlenecks in scikit-learn's k-nearest neighbors search and introduces a new implementation for better CPU scalability.
A guide to optimizing the speed of calculating pairwise overlaps for many sets, using a biological data analysis example and progressive brute-force improvements.
Part 3 of a series on the Levenshtein Distance algorithm, focusing on advanced C#-specific performance optimizations for the inner calculation loop.
Explains memory and performance optimizations for the Levenshtein Distance algorithm, building on a basic implementation.
