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Discover how sorting algorithms, from bubble to quick, merge, heap, shell, and non‑comparison methods like counting, radix, and bucket, organize data efficiently, highlighting speed, memory use, and stability.
This article is a comparison chart and also a technical reference sheet which integrates provenance, algorithmic variants and engineering pragmatic factors (speed, memory, scope, etc.) of several popular Sorting Algorithms. Use this article as an advanced technical reference.
Whether you are a new programmer or brushing up on fundamentals, this guide will help you understand these essential algorithms in a clear, tutorial-friendly way. From sorting, searching, graphing and cryptography to dynamic programming, greediness and machine learning algorithms.
