Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes hints or solutions to all quizzes and problems, and a series of YouTube videos by the author accompanies the book. Part 3 covers greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, shortest paths, optimal search trees).
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Algorithms Illuminated (Part 3): Greedy Algorithms and Dynamic Programming
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This guide teaches advanced algorithmic concepts like greedy algorithms and dynamic programming for computer science students.
Additional information
| Weight | 0.338 lbs |
|---|---|
| Dimensions | 15.2 × 1.3 × 22.9 in |
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