Two Pointers and Sliding Window Interview Patterns
6 min read Two Pointers and Sliding Window Interview Patterns Two pointers and sliding window are techniques that turn O(n²) brute-force solutions into […] Read article
Master fundamental and advanced algorithms essential for technical interviews at top companies. This category covers sorting algorithms, search algorithms, graph algorithms, and optimization techniques that form the foundation of computer science problem-solving.
What You’ll Learn:
Sorting algorithms: Quick sort, merge sort, heap sort
Search techniques: Binary search and variations
Graph algorithms: DFS, BFS, Dijkstra’s, topological sort
Optimization: Dynamic programming, greedy algorithms
Time and space complexity analysis
Difficulty Progression: Start with basic sorting and searching, then progress to graph algorithms and dynamic programming.
Interview Frequency: Extremely high – algorithms appear in 80%+ of technical interviews at Google, Amazon, Facebook, Microsoft, and Apple.
6 min read Two Pointers and Sliding Window Interview Patterns Two pointers and sliding window are techniques that turn O(n²) brute-force solutions into […] Read article
6 min read Graph Algorithm Interview Patterns: BFS, DFS, Dijkstra, Topological Sort Graph problems are a staple of coding interviews. The key is Read article
5 min read Segment Tree and Range Query Interview Patterns Segment trees solve range query problems — finding the sum, min, max, or Read article
6 min read Trie and String Matching Interview Patterns Tries (prefix trees) and string matching algorithms are a distinct category in coding interviews. Read article
5 min read Amortized Analysis and Time Complexity Patterns Amortized analysis evaluates the average performance of operations over a sequence, not worst-case per Read article
4 min read Minimum Spanning Tree: Kruskal’s and Prim’s Algorithms A Minimum Spanning Tree (MST) connects all vertices of a weighted graph with Read article
4 min read Dynamic Programming Patterns II: Knapsack, LCS, Edit Distance Beyond simple memoization, there are classic DP problem families where recognizing the Read article
5 min read Object-Oriented Design (OOD) Interview Patterns: LRU Cache, Parking Lot & More OOD interviews ask you to design a system using Read article
5 min read Recursion and Backtracking Interview Patterns Backtracking is systematic exhaustive search with pruning. It builds candidates incrementally and abandons (backtracks) as Read article
4 min read String Interview Patterns: Anagram, Palindrome, KMP & More String problems are among the most common in coding interviews. Beyond brute-force Read article
4 min read Interval Problem Patterns: Merge, Insert, Overlap & Scheduling Interval problems require manipulating ranges [start, end]. They appear frequently in meeting Read article
5 min read Tree Dynamic Programming Interview Patterns Tree DP combines tree traversal with dynamic programming. The key insight: the answer for a Read article
5 min read Stack Interview Patterns: Parentheses, Calculator, Histogram & More Beyond the monotonic stack, there are several classic stack patterns that appear Read article
4 min read Advanced Binary Search Interview Patterns Binary search goes far beyond searching a sorted array. The key insight: whenever you can Read article
4 min read Two Pointers and Sliding Window Interview Patterns Two-pointer techniques transform O(n²) brute-force solutions into O(n) elegant ones. They are among Read article