Mastering DSA & Interview Architecture

Table of Contents

1. Big O Space-Time Complexity & Recurrence Relations 2. Arrays & Dynamic Arrays (Two Sum Pattern)3. Hashing Internals & Group Anagrams Pattern 4. Accumulative Arrays & Product Except Self Pattern 5. The Two-Pointer Paradigm & 3Sum Pattern 6. Two-Pointer Bottlenecks & Container With Most Water 7. In-Place Manipulation & Sorted Array Deduplication 8. Sliding Window Basics & Index Tracking Patterns 9. Advanced Sliding Windows & Frequency Maps 10. Stacks & Nesting LIFO Patterns 11. Stateful Stack Data Structures (Min Stack Pattern)12. Logarithmic Search & Binary Search Basics 13. Rotated Sorted Array Binary Search Patterns 14. Linked List Pointers & Iterative Rewiring Patterns 15. Multi-Pointer List Merging Patterns 16. Tree Level-Order Traversal & Breadth-First Search (BFS)17. Binary Search Trees & Validation Algorithms 18. BST Partitioning & Lowest Common Ancestor (LCA)19. Monotonic Stacks & Next Greater Element 20. Priority Queues & Frequency Buckets 21. The Quickselect Algorithm & Order Statistics 22. Multi-Way Merge & Min-Heap Architectures 23. Dynamic Programming 1D & Coin Change 24. LIS Optimization & Binary Search Patterns 25. 0/1 Knapsack & Space-Optimized DP 26. Monotonic Stacks & Histogram Widths 27. Monotonic Stacks & Trapping Rain Water 28. Binary Search on Answer & Feasibility Models 29. Minimum Window Substring & Boundary Contraction 30. 2D Dynamic Programming & String Edit Distance 31. LRU Cache State Design (Constant Time operations)32. Data Streams & Balanced Heaps (Two Heaps Pattern)33. Prefix Trees (Trie Construction & Search)34. Advanced Tries & DFS Word Search 35. Dijkstra's Shortest Path Algorithm 36. Minimum Spanning Trees (Prim & Kruskal)37. Disjoint Set Union (DSU / Union-Find)38. Shortest Paths with Negative Weights (Bellman-Ford & Floyd-Warshall)39. Tarjan's Strongly Connected Components (SCC)40. Backtracking (Permutations & Combinations)41. Backtracking & Constraint Satisfaction (N-Queens)42. 2D Dynamic Programming & Longest Common Subsequence (LCS)43. Dynamic Programming on Intervals (MCM)44. Dynamic Programming on Trees (Subtree Sums & Diameters)45. Bitmask Dynamic Programming (Hamiltonian Cycles)46. Greedy Interval Scheduling & Scheduling Optimization 47. Huffman Coding & Data Compression 48. Bitwise Operators & Masking Patterns 49. Single Number & XOR Manipulation Tricks 50. Segment Trees & Range Query Data Structures

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