This repository showcases my solutions to various Codeforces and AtCoder problems, highlighting the diverse range of techniques, algorithms, and data structures employed. Each solution is a result of rigorous problem-solving efforts and a commitment to mastering different aspects of competitive programming.
- Dynamic Programming
- Greedy Algorithms
- Divide and Conquer
- Graph Algorithms (DFS, BFS, Dijkstra's, etc.)
- Searching and Sorting
- Arrays
- Linked Lists
- Stacks and Queues
- Trees
- Heaps
- Hash Tables
- Space and Time Complexity Analysis
- Memoization and Tabulation
- Sliding Window Technique
- Two-Pointer Technique
- Careful understanding of problem statements.
- Identification of edge cases and constraints.
- Thorough examination of input/output requirements.
- Consistent participation in Codeforces contests.
- Regular practice sessions on platform-provided problem sets.
- Experimentation with various algorithms to find optimal solutions.
- Exploration of different problem-solving paradigms (e.g., Divide and Conquer, Dynamic Programming) based on problem requirements.
- Active participation in discussions and forums.
- Seeking and providing feedback on solutions.
This repository is a testament to the dedication and effort invested in honing problem-solving skills on Codeforces. It serves as a resource for fellow programmers seeking to enhance their algorithmic and data structure proficiency. Contributions, feedback, and discussions are welcome!