https://codeforces.net/blog/entry/82143

binary search

DFS,binary search.

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Beginner Resources

Hi @Tmmaster

For beginners in competitive programming, it's important to focus on algorithms and data structures that are commonly encountered in programming contests. These algorithms and data structures will help you solve a wide range of problems efficiently. Here's a list of some essential algorithms and data structures to start with:

Algorithms:

1. Sorting Algorithms: Learn basic sorting algorithms like Bubble Sort, Selection Sort, and Insertion Sort. Then, move on to more efficient ones like Merge Sort and Quick Sort.

2. Binary Search: Understand how binary search works and its applications in searching and optimizing problems.

3. Greedy Algorithms: Learn about greedy strategies and their application in solving problems where you make locally optimal choices at each step to reach a global optimum.

4. Dynamic Programming: This is a crucial concept. Start with the basics and gradually progress to more complex problems. Learn about memoization and tabulation techniques.

5. Graph Algorithms:

• Dijkstra's Algorithm: For finding the shortest path in weighted graphs with non-negative edge weights.
• Depth-First Search (DFS): Useful for traversal and finding cycles in graphs.

1. Divide and Conquer: Understand the concept of breaking a problem into smaller subproblems, solving them, and then combining the results.

Data Structures:

1. Arrays and Lists
2. Stacks and Queues
3. Linked Lists
4. Hashing
5. Trees: (Binary Tree, Binary Search Trees, Heaps)

Remember that competitive programming is not just about memorizing algorithms, but also about practicing and applying these concepts to various types of problems. Start with easier problems and gradually work your way up to more challenging ones as you become more comfortable with these algorithms and data structures.

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