I am not able to access the specific article you mentioned, but I can definitely help you with your query. If you're looking for a comprehensive list of data structures and algorithms relevant to each skill level in programming, you can follow a structured approach to practice competitive programming effectively.
Competitive programming requires a solid foundation in basic data structures and algorithms before moving on to more advanced topics. Here is a suggested step-by-step approach to practice competitive programming:
Basic Data Structures: Start by mastering fundamental data structures like arrays, linked lists, stacks, queues, and hash tables. Understand their operations, time complexity, and implementation details.
Basic Algorithms: Learn and implement basic algorithms such as sorting (e.g., bubble sort, insertion sort, merge sort, quicksort), searching (e.g., linear search, binary search), and basic graph algorithms (e.g., depth-first search, breadth-first search).
Intermediate Data Structures: Move on to more complex data structures like trees (binary trees, binary search trees, heaps), graphs (directed and undirected graphs, weighted graphs), and advanced data structures like segment trees, fenwick trees, and trie.
Intermediate Algorithms: Expand your algorithmic knowledge with more advanced algorithms, including dynamic programming, graph algorithms (e.g., Dijkstra's algorithm, Bellman-Ford algorithm), and string algorithms (e.g., pattern matching, string manipulation).
Advanced Data Structures: Study advanced data structures such as AVL trees, B-trees, disjoint-set union (DSU), suffix trees, and advanced graphs (e.g., topological sorting, minimum spanning trees).
Advanced Algorithms: Explore advanced algorithms like advanced dynamic programming techniques (e.g., memoization, bottom-up approach), advanced graph algorithms (e.g., Tarjan's algorithm, Floyd-Warshall algorithm), and advanced string algorithms (e.g., Knuth-Morris-Pratt algorithm, Z algorithm).
Remember that competitive programming is not just about learning data structures and algorithms but also about problem-solving skills. Practice regularly by participating in coding contests and solving problems from online platforms like Codeforces, LeetCode, and HackerRank.
While I can provide you with guidance, it's essential to consult various resources such as textbooks, online tutorials, and coding platforms to deepen your understanding of each topic. Always cite your sources and avoid copying content directly to maintain academic integrity and avoid plagiarism. Good luck with your competitive programming journey!
