5 docs tagged with "data-structures"

Master algorithmic problem-solving with a comprehensive guide from fundamentals to advanced techniques. Perfect for LeetCode preparation and technical interviews.

Learn fundamental data structures including arrays, linked lists, stacks, queues, and hash tables that form the foundation of algorithmic problem-solving.

Essential foundations for algorithmic problem-solving: complexity analysis, basic data structures, and fundamental programming techniques.

Learn graph representations (adjacency list and matrix), graph traversal algorithms (BFS and DFS), and connected components analysis.

Master systematic problem decomposition, pattern recognition, constraint analysis, and data structure selection for algorithmic problems.