30-Day Algorithm Study Roadmap

Welcome to the 30-day algorithm study journey! This roadmap is designed to cover key algorithmic concepts, data structures, and problem-solving strategies. Adjust the pace based on your prior knowledge and availability.

Week 1: Introduction and Basic Concepts

• Day 1-3: Introduction to Algorithms and Importance
• Day 4-7: Basic Data Structures - Arrays and Linked Lists

Week 2: Sorting and Searching Algorithms

• Day 8-10: Bubble Sort, Selection Sort, and Insertion Sort
• Day 11-14: Merge Sort and Quick Sort
• Day 15-17: Binary Search and Linear Search
• Day 18-21: Advanced Sorting Algorithms - Heap Sort and Radix Sort

Week 3: Dynamic Programming

• Day 22-24: Introduction to Dynamic Programming
• Day 25-27: Fibonacci Sequence and Coin Change Problems
• Day 28-30: Dynamic Programming on Strings - Longest Common Subsequence

Week 4: Graph Algorithms

• Day 31-33: Graph Representation - Adjacency Matrix and Adjacency List
• Day 34-36: Depth-First Search (DFS)
• Day 37-39: Breadth-First Search (BFS)
• Day 40-42: Shortest Path Algorithms - Dijkstra's and Bellman-Ford

Feel free to explore additional resources, solve algorithmic problems on platforms like LeetCode or HackerRank, and participate in coding challenges to reinforce your understanding. This roadmap is a starting point, and continuous practice is key to mastering algorithms.