Category: Blog
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How to Learn Wave Function Collapse: Local Constraints, Entropy, Observation, Propagation and Procedural Generation
A beginner-to-professional guide to Wave Function Collapse covering tile and overlapping models, domains, entropy, observation, constraint propagation, contradictions, backtracking, validation and production procedural generation.
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How to Learn the Boykov–Kolmogorov Max-Flow Algorithm: Two Search Trees, Grow–Augment–Adopt Phases and Graph-Cut Optimisation
A beginner-to-professional guide to the Boykov–Kolmogorov max-flow algorithm covering residual graphs, two search trees, grow–augment–adopt phases, orphan repair, graph cuts, validation and professional benchmarking.
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How to Learn the Shunting Yard Algorithm: Tokens, Operator Stacks, Precedence, Associativity and Expression Parsing
A beginner-to-professional guide to Dijkstra’s shunting yard algorithm covering tokenisation, operator stacks, precedence, associativity, parentheses, functions, unary operators, ASTs, testing and production parser design.
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How to Learn Aho–Corasick: Tries, Failure Links, Output Links and One-Pass Multi-Pattern String Matching
A beginner-to-professional guide to Aho–Corasick covering tries, failure links, output links, BFS construction, streaming multi-pattern search, complexity, Unicode, testing and production trade-offs.
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How to Learn Otsu’s Thresholding Algorithm: Histograms, Within-Class Variance, Between-Class Separation and Robust Image Segmentation
A beginner-to-professional guide to Otsu’s thresholding algorithm, covering histograms, class probabilities and means, variance criteria, efficient implementation, failure modes, Multi-Otsu, validation and teaching progression.
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How to Learn Prüfer Sequences: Leaf Removal, Tree Codes, Decoding, Degree Counts and Cayley’s Formula
A beginner-to-professional guide to Prüfer sequences, covering leaf-removal encoding, decoding, degree counts, Cayley’s formula, efficient implementations, random labelled trees and validation.
