I invested 6+ hours to create this cheatsheet of 53 DSA problem-solving patterns & 265 problems of the 6 most commonly asked important data structures in interviews.

I invested 6+ hours to create this cheatsheet of 53 DSA problem-solving patterns & 265 problems of the 6 most commonly asked important data structures in interviews.

(Problems are at the end)

1. Strings & Its Patterns
- KMP Algorithm
- Z-Algorithm
- Rabin-Karp Algorithm
- Longest Common Subsequence (LCS)
- Edit Distance
- Regular Expression Matching
- Palindrome Problems

2. Dynamic Programming (DP) & Its Patterns
- Fibonacci/Simple Recurrence
- 0/1 Knapsack
- Unbounded Knapsack
- Longest Common Subsequence (LCS)
- Longest Increasing Subsequence (LIS)
- Grid-Based DP
- Interval DP
- Tree DP
- Bitmasking/State Compression
- Digit DP
- Probability/Expectation DP

3. Graphs & Its Patterns
- DFS/BFS Traversal
- Shortest Path Algorithms (Dijkstra, Bellman-Ford, Floyd-Warshall)
- Topological Sort
- Cycle Detection
- Connected Components
- Minimum Spanning Tree (MST)
- Union-Find (Disjoint Set Union - DSU)
- Grid-Based Graph Problems
- Graph Coloring
- Strongly Connected Components (SCC)
- Eulerian & Hamiltonian Paths
- Planets & Queries (Advanced Graph Problems)

4. Trees & Its Patterns
- Distance Between Nodes (LCA, BFS/DFS)
- Sum of Distances (Rerooting Technique)
- Subtree Queries (Segment Trees, Heavy-Light Decomposition)
- Binary Lifting (LCA Optimization)
- Tree DP (Dynamic Programming on Trees)
- Path Queries (Prefix Sums, Binary Lifting)
- Tree Construction (BST, Trie, etc.)

5. Heap (Priority Queue) & Its Patterns
- Top K Elements
- Merge K Sorted Structures
- Two Heaps for Medians
- Sliding Window Heaps
- Greedy Heap Applications
- Heap-based Game Theory

6. Linked Lists & Its Patterns
- Fast and Slow Pointers (Two Pointers)
- Reversing Linked Lists
- Merging and Partitioning Lists
- Dummy Node Technique
- List Manipulation Operations
- List Transformations
- Basic List Operations Implementation

→ Secondary/Supporting Data Structures for interviews
- Hash Maps / Hash Sets (used in string matching, graph traversals, etc.)
- Stacks & Queues (used in DFS/BFS, parsing, etc.)
- Binary Search Trees (BST) (used in some tree-based problems)
- Trie (Prefix Tree) (used in string matching problems)
- Segment Trees & Fenwick Trees (used in range queries, subtree problems)
- Monotonic Stacks/Queues (used in sliding window problems)

Problems: https://lnkd.in/gxQaytfY

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