AVL Tree Algorithm: Height-Balanced Binary Tree Explained with Examples
Learn about the AVL Tree algorithm, the first self-balancing binary search tree. Understand its rotations, balancing factor, and efficiency with visual diagrams and examples.
Learn about the AVL Tree algorithm, the first self-balancing binary search tree. Understand its rotations, balancing factor, and efficiency with visual diagrams and examples.
Learn everything about Splay Trees in this detailed article. Understand how self-adjusting binary search trees work, their operations, rotations, efficiency, and real-world example use cases with diagrams and code.
Learn Segment Tree in detail: a powerful data structure for solving range queries like sum, minimum, and maximum efficiently. Includes step-by-step examples, visualization, and code for implementation.
Learn Fenwick Tree (Binary Indexed Tree) for fast range sum queries with detailed examples, visual explanations, and code implementation. Ideal for competitive programming and data structure enthusiasts.
Learn the Trie algorithm (prefix tree) in depth with examples, illustrations, and practical use cases like autocomplete and dictionary search. A complete guide to efficient string storage and retrieval.
Learn about Suffix Trees, a compressed trie data structure designed for efficient string processing, substring searches, and pattern matching with detailed examples and diagrams.
Learn how persistent data structures enable efficient immutable operations, their advantages, examples, and practical implementations with diagrams and code.
Master algorithm interview preparation with proven strategies, step-by-step examples, practice problems, and visual explanations. Crack coding interviews with confidence by understanding core algorithms and problem-solving techniques.
Explore the top 50 algorithm interview questions with step-by-step solutions, diagrams, and examples to ace your technical interviews.
Detailed guide to the Readers-Writers Problem in concurrency: concepts, classic solutions, visualizations, and real-world applications for computer algorithms.