dynamic-programming

Master essential array techniques including two pointers, sliding window, and prefix sums for efficient problem solving with O(n) patterns.

Master backtracking technique with permutations, combinations, and puzzle solving patterns with production-ready implementations.

Essential graph algorithms including DFS, BFS, Dijkstra shortest path, and Union-Find with production-ready implementations.

Hash-based data structures and techniques including frequency counting, duplicate detection, and LRU cache implementation.

Complete sorting algorithm implementations including quick sort, merge sort, and binary search with complexity analysis and production-ready code.

Master tree traversal techniques including DFS (inorder, preorder, postorder) and BFS level-order traversal with production-ready implementations.

Bit manipulation tricks and techniques for solving problems efficiently using binary operations and XOR properties.

Recursive algorithms and divide-and-conquer strategies

String algorithms and pattern matching techniques

Stack and queue data structures with applications

Linked list data structures and operations