10 Algorithms Every Engineer Should Know: 0.💡 Breadth-First Search (BFS): Explore a graph level by level, starting from the root, which is great for finding the shortest path in unweighted graphs. ➡️ Useful when: You're designing web crawlers or analyzing social networks. 1.💡 Two Heaps: Uses a min-heap and max-heap to manage dynamic datasets efficiently, maintaining median and priority. ➡️ Useful when: You need to manage a priority queue or dynamic datasets. 2.💡 Two Pointers: This technique takes 2 points in a sequence and performs logic based on the problem. ➡️ Useful when: You are implementing sorting or searching functions. 3.💡 Sliding Window: Optimizes the computation by reusing the state from the previous subset of data. ➡️ Useful when: You're handling network congestion or data compression. 4.💡 Depth-First Search (DFS): Explores each path to the end, ideal for situations that involve exploring all options like in puzzles. ➡️ Useful when: You're working with graph structures or need to generate permutations. 5.💡 Topological Sort: Helps in scheduling tasks based on their dependencies. ➡️ Useful when: You are determining execution order in project management or compiling algorithms. 6.💡 Merge Intervals: Optimizes overlapping intervals to minimize the number of intervals. ➡️ Useful when: Scheduling resources or managing calendars. 7.💡 Backtracking: It explores all potential solutions systematically and is perfect for solving puzzles and optimization problems. ➡️ Useful when: Solving complex logical puzzles or optimizing resource allocations. 8.💡 Trie (Prefix Tree): A tree-like structure that manages dynamic sets of strings efficiently, often used for searching. ➡️ Useful when: Implementing spell-checkers or autocomplete systems. 9.💡 Flood Fill: It fills a contiguous area for features like the 'paint bucket' tool. ➡️ Useful when: Working in graphics editors or game development. 10.💡 Segment Tree: Efficiently manages intervals or segments and is useful for storing information about intervals and querying over them. ➡️ Useful when: Dealing with database range queries or statistical calculations. What did I miss? ~~~ 👉🏻 Join 45,001+ software engineers getting curated system design deep dives, trends, and tools (it's free): ➔ https://lnkd.in/dkJiiBnf ~~~ If you found this valuable: 👨🏼‍💻 Follow Alexandre Zajac 🔖 Bookmark this post for later ♻️ Repost to help someone in your network Image credit: Design Gurus | 55 comments on LinkedIn