Master Data Structures and Algorithms (DSA)

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In computer science and algorithm design, categorized by their application and usage frequency. It highlights key concepts like Arrays, which are fundamental data structures, and advanced techniques such as Dynamic Programming, used for solving optimization problems. Topics like Sorting, Hash Tables, and Graphs cover essential methods for organizing and searching data efficiently. Techniques like Greedy Algorithms and Divide and Conquer represent strategies for solving problems step-by-step or by breaking them into smaller subproblems. Specialized methods like Backtracking, Sliding Window, and Monotonic Stacks are used for specific problem patterns.

The list also includes data structures like Binary Trees, Tries, and Segment Trees, which are used for hierarchical or range-based data queries. Algorithmic paradigms such as Recursion, Bit Manipulation, and Heap (Priority Queue) reflect different ways to approach computation. Other advanced topics, including Probability and Statistics, Game Theory, and Concurrency, extend into multidisciplinary applications. Finally, rare and niche areas like Eulerian Circuit, Biconnected Components, and Reservoir Sampling address specific challenges in graph theory and data sampling. Overall, the list is a comprehensive guide to the diverse tools and concepts used in problem-solving across domains.

  1. Hash Table
  2. Dynamic Programming
  3. Math
  4. Sorting
  5. Greedy
  6. Depth-First Search
  7. Database
  8. Binary Search
  9. Matrix
  10. Tree
  11. Breadth-First Search
  12. Bit Manipulation
  13. Two Pointers
  14. Heap (Priority Queue)
  15. Prefix Sum
  16. Binary Tree
  17. Simulation
  18. Stack
  19. Counting
  20. Graph
  21. Sliding Window
  22. Design
  23. Backtracking
  24. Enumeration
  25. Union Find
  26. Linked List
  27. Ordered Set
  28. Number Theory
  29. Monotonic Stack
  30. Trie
  31. Segment Tree
  32. Bitmask
  33. Divide and Conquer
  34. Queue
  35. Recursion
  36. Combinatorics
  37. Binary Search Tree
  38. Hash Function
  39. Binary Indexed Tree
  40. Geometry
  41. Memoization
  42. String Matching
  43. Topological Sort
  44. Shortest Path
  45. Rolling Hash
  46. Game Theory
  47. Interactive
  48. Data Stream
  49. Monotonic Queue
  50. Brainteaser
  51. Randomized
  52. Merge Sort
  53. Doubly-Linked List
  54. Counting Sort
  55. Iterator
  56. Concurrency
  57. Probability and Statistics
  58. Quickselect
  59. Suffix Array
  60. Bucket Sort
  61. Minimum Spanning Tree
  62. Shell
  63. Line Sweep
  64. Reservoir Sampling
  65. Strongly Connected Component
  66. Eulerian Circuit
  67. Radix Sort
  68. Rejection Sampling
  69. Biconnected Component