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Theoretical Background

Concepts

The theoretical groundwork that makes algorithms truly make sense. Each topic is a self-contained chapter — read it in order as a structured course, or jump to any entry as a quick reference.

Complexity Analysis
Recursion
Divide & Conquer
Dynamic Programming
Greedy
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Algorithm Collection

Algorithm Sheets

Rigorous, interactive breakdowns of each algorithm: from the naive approach and why it fails, through the full derivation, to annotated multi-language code and step-by-step table visualizations.

Problem Statement
Complexity Analysis
Pseudocode
Interactive Trace
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