/Notes

This are my notes and important stuff

Primary LanguageC++

Certainly, here's a more detailed list of specific algorithms and data structures to cover in your DSA roadmap:

Data Structures:

  1. Arrays
  2. Linked Lists (Singly, Doubly, Circular)
  3. Stacks
  4. Queues
  5. Hash Tables (Hash Maps)
  6. Trees (Binary Trees, AVL Trees, Red-Black Trees)
  7. Heaps (Min-Heap, Max-Heap)
  8. Graphs (Adjacency List, Adjacency Matrix)
  9. Trie
  10. Disjoint Set (Union-Find)
  11. Priority Queue
  12. Segment Tree
  13. Fenwick Tree (Binary Indexed Tree)
  14. Skip List
  15. B-Trees

Basic Algorithms:

  1. Linear Search
  2. Binary Search
  3. Bubble Sort
  4. Selection Sort
  5. Insertion Sort
  6. Merge Sort
  7. Quick Sort
  8. Counting Sort
  9. Radix Sort
  10. Breadth-First Search (BFS)
  11. Depth-First Search (DFS)

Advanced Algorithms:

  1. Dynamic Programming (0/1 Knapsack, Longest Common Subsequence, etc.)
  2. Greedy Algorithms (Dijkstra's, Kruskal's, Huffman Coding, etc.)
  3. Divide and Conquer (Merge Sort, Quick Sort, Strassen's Matrix Multiplication, etc.)
  4. Backtracking (N-Queens, Sudoku, Subset Sum, etc.)
  5. Graph Algorithms (Dijkstra's, Bellman-Ford, Floyd-Warshall, etc.)
  6. Topological Sort
  7. Minimum Spanning Tree (Prim's Algorithm)
  8. String Matching Algorithms (KMP, Rabin-Karp)
  9. Maximum Flow (Ford-Fulkerson, Edmonds-Karp)
  10. Traveling Salesman Problem (TSP)

Complex Data Structures and Algorithms:

  1. AVL Trees and Operations
  2. Red-Black Trees and Operations
  3. Trie-Based Data Structures (Suffix Tree, Suffix Array)
  4. B-Trees and B+ Trees
  5. LRU Cache Implementation
  6. A* Search Algorithm
  7. Huffman Coding and Decoding
  8. Floyd-Warshall Algorithm for All Pairs Shortest Path
  9. Minimum Cost Maximum Flow Algorithms (e.g., Successive Shortest Paths)
  10. Strongly Connected Components (Kosaraju's Algorithm, Tarjan's Algorithm)

System Design Concepts:

  1. Load Balancing
  2. Caching
  3. Database Design (SQL and NoSQL)
  4. Scalability
  5. Consistency and Availability Trade-offs
  6. Distributed Systems (CAP Theorem, Distributed Databases)
  7. Microservices Architecture
  8. Design Patterns (Singleton, Factory, MVC, etc.)
  9. API Design
  10. Web Security (Cross-Site Scripting, SQL Injection, etc.)

Remember that mastering each of these topics requires time and practice. Start with the basics and gradually move towards more advanced topics. Regularly practice coding problems related to these concepts on platforms like LeetCode, HackerRank, or Codeforces to solidify your understanding and problem-solving skills. Good luck on your DSA journey!