Algorithm Interview Comprehensive Guide
Introduction This is a comprehensive algorithm interview guide covering 40+ classic problems with detailed analysis and template code. The guide is organized by algorithmic patterns and prioritized by company focus (Google, Meta, Amazon). What’s Covered The guide includes the following topics: Greedy Algorithm - Assignment problems, Interval scheduling Two Pointers - Opposite pointers, Sliding window, Fast-slow pointers Binary Search - Standard search, Boundary search, Search on answer Sorting - Custom sorting, Quickselect, Bucket sort Prefix Sum - Subarray sum, Contiguous array Stack and Queue - Parentheses matching, Monotonic stack DFS - Grid search, Cycle detection, Memoized search BFS - Shortest path, Multi-source BFS Dijkstra - Weighted graph shortest path Dynamic Programming - Linear DP, String DP, Knapsack, Stock problems Divide and Conquer - Merge K sorted lists Trie - Prefix tree, Word search Topological Sort - Course scheduling Union-Find - Connected components, Cycle detection LRU Cache - Hash map + Doubly linked list Bit Manipulation - XOR tricks, Counting bits Key Features Priority Labels: Problems are labeled with company focus (G=Google, M=Meta, A=Amazon) and priority levels (P0/P1/P2) Template Code: Reusable code templates for each pattern Detailed Analysis: Step-by-step problem breakdown and complexity analysis Interview Tips: Communication strategies and edge case handling Full Document Click the link below to view the complete guide: ...