An Open Guide to Data Structures and Algorithms

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This open-access textbook provides a comprehensive guide to data structures and algorithms. It covers fundamental concepts like algorithms, Big-O notation, recursion, sorting (Selection, Insertion, Merge, Quick), searching (Linear, Binary), linked lists, stacks, queues, hashing (open addressing, chaining), trees (BSTs, AVL), priority queues (heaps, binomial heaps), dynamic programming, graphs, and hard problems (P, NP, NP-complete, NP-hard). The book emphasizes practical implementation, complexity analysis, and design trade-offs, aiming to equip students with essential problem-solving skills in computer science.

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