Two Pointers and Sliding Window Interview Patterns
Two Pointers and Sliding Window Interview Patterns Two pointers and sliding window are techniques that turn O(n²) brute-force solutions into […]
Algorithms
← Tech Interview
Algorithms
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.
Algorithms
Graph Algorithm Interview Patterns: BFS, DFS, Dijkstra, Topological Sort
Graph Algorithm Interview Patterns: BFS, DFS, Dijkstra, Topological Sort Graph problems are a staple of coding interviews. The key is
Algorithms
Segment Tree and Range Query Patterns: Fenwick Tree, Lazy Propagation, Order Statistics
Segment Tree and Range Query Interview Patterns Segment trees solve range query problems — finding the sum, min, max, or
Algorithms
Trie and String Matching Interview Patterns: Autocomplete, KMP, Rabin-Karp
Trie and String Matching Interview Patterns Tries (prefix trees) and string matching algorithms are a distinct category in coding interviews.
Algorithms
Amortized Analysis and Complexity Patterns: Dynamic Arrays, Union-Find, Monotonic Deque
Amortized Analysis and Time Complexity Patterns Amortized analysis evaluates the average performance of operations over a sequence, not worst-case per
Algorithms
Minimum Spanning Tree: Kruskal’s and Prim’s Algorithm Interview Guide
Minimum Spanning Tree: Kruskal’s and Prim’s Algorithms A Minimum Spanning Tree (MST) connects all vertices of a weighted graph with
Algorithms
Dynamic Programming Patterns II: Knapsack, LCS, Edit Distance & State Machines
Dynamic Programming Patterns II: Knapsack, LCS, Edit Distance Beyond simple memoization, there are classic DP problem families where recognizing the
Algorithms
OOD Interview Patterns: LRU Cache, Parking Lot & Elevator System
Object-Oriented Design (OOD) Interview Patterns: LRU Cache, Parking Lot & More OOD interviews ask you to design a system using
Algorithms
Recursion and Backtracking Interview Patterns: Permutations, N-Queens, Sudoku
Recursion and Backtracking Interview Patterns Backtracking is systematic exhaustive search with pruning. It builds candidates incrementally and abandons (backtracks) as
Algorithms
String Interview Patterns: Anagram, Palindrome, KMP & Encoding
String Interview Patterns: Anagram, Palindrome, KMP & More String problems are among the most common in coding interviews. Beyond brute-force
Algorithms
Interval Problem Patterns: Merge, Insert, Meeting Rooms & Scheduling
Interval Problem Patterns: Merge, Insert, Overlap & Scheduling Interval problems require manipulating ranges [start, end]. They appear frequently in meeting
Algorithms
Tree Dynamic Programming Interview Patterns: Diameter, Path Sum & House Robber
Tree Dynamic Programming Interview Patterns Tree DP combines tree traversal with dynamic programming. The key insight: the answer for a
Algorithms
Advanced Binary Search Interview Patterns: Rotated Array, Search on Answer
Advanced Binary Search Interview Patterns Binary search goes far beyond searching a sorted array. The key insight: whenever you can
Algorithms
Stack Interview Patterns: Parentheses, Calculator, Histogram & Min Stack
Stack Interview Patterns: Parentheses, Calculator, Histogram & More Beyond the monotonic stack, there are several classic stack patterns that appear
Algorithms
Two Pointers and Sliding Window Interview Patterns: Complete Guide
Two Pointers and Sliding Window Interview Patterns Two-pointer techniques transform O(n²) brute-force solutions into O(n) elegant ones. They are among