Master the two main sliding window templates (fixed-length and variable-length windows) and use TypeScript to solve classic problems like Longest Substring Without Repeating Characters and Minimum Window Substring.

Master the principles of stacks and queues, their TypeScript implementations, and how monotonic stacks and monotonic queues solve problems like Next Greater Element.

Understand Big O notation from scratch and master common time and space complexity analysis. Includes front-end practical examples and diagrams, ideal for algorithm beginners to get started quickly.

Master the principles, construction, and querying of Trie trees, and implement high-frequency applications like search suggestions, word matching, and prefix counting in TypeScript.

Master traversal techniques for 2D arrays, matrix operations like rotation, spiral order, and search, plus efficient range sum queries with 2D prefix sums.

Master the four core patterns of two pointers on arrays (left-right pointers, fast-slow pointers, front-back pointers, and separated pointers) to solve high-frequency algorithm problems with TypeScript.