Lectures related to Huffman coding

Explores the Shannon-Fano algorithm for data compression and its efficiency in creating unique binary codes for letters.

Covers Shannon-Fano codes, a method for uniquely decodable and prefix-free coding, and discusses their optimality compared to the entropy.

Focuses on coding economic models in MATLAB, emphasizing economic intuition and precision in model implementation.

Delves into advanced Python coding for double-layered timber plate shell structures.

Explores entropy, compression algorithms, and optimal coding methods for data compression.

Explores lossless compression using Shannon-Fano and Huffman algorithms, showcasing Huffman's superior efficiency and speed over Shannon-Fano.

Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.