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Problem Solving Repository

Welcome to my Problem Solving repository! This collection contains my solutions to various algorithmic challenges and coding problems, implemented in C and C++. This repository serves as my personal resource for improving my coding skills and problem-solving abilities.

🏆 Purpose

The main goal of this repository is to:

• Practice Problem-Solving: Tackle a variety of algorithmic challenges to strengthen my understanding of different concepts and techniques.
• Prepare for Technical Interviews: Build a solid foundation for coding interviews by solving common algorithmic problems.
• Enhance Competitive Programming Skills: Sharpen my skills for competitive programming contests and improve my ability to solve problems under time constraints.
• Learn and Experiment: Explore new algorithms and data structures, experimenting with different approaches to find optimal solutions.

📂 Repository Structure

The problems are organized into various categories based on their algorithmic concepts and data structures. Each solution is crafted with attention to efficiency, readability, and the learning process.

Problem Categories Include:

1. Data Structures:

   • Arrays and Strings: Manipulating and optimizing problems involving linear data storage.
   • Linked Lists: Implementing and solving common problems related to linked lists.
   • Stacks and Queues: Working on LIFO and FIFO data structures and related challenges.
   • Trees: Implementing various types of trees and solving traversal and manipulation problems.
   • Heaps and Hash Maps: Utilizing priority queues and hash tables for efficient data retrieval.

2. Algorithms:

   • Sorting and Searching: Implementing classic sorting algorithms and search techniques.
   • Dynamic Programming: Tackling optimization problems through memoization and tabulation.
   • Graph Algorithms: Exploring traversal techniques and shortest path algorithms.

3. Bit Manipulation:

   • Solving problems that require efficient operations on binary representations.

4. Mathematical Algorithms:

   • Understanding number theory concepts and their applications in algorithm design.

5. Advanced Topics:

   • Exploring complex topics such as string algorithms, network flow, and segment trees as I encounter them.

💻 Languages Used

• C and C++: The solutions in this repository are implemented in these two languages, which I find suitable for practicing algorithms and data structures.

🚀 How to Use This Repository

I can browse through the problem folders and open the corresponding solutions. Each problem solution includes:

1. Problem Statement: A brief description of the problem and example inputs/outputs.
2. Solution: Well-commented code explaining the logic and approach.
3. Complexity Analysis: Breakdown of time and space complexity for each solution.

🛠️ Tools and Resources

I use various platforms and tools to practice and find new problems, including:

• LeetCode
• Codeforces
• HackerRank
• GeeksforGeeks

These resources help me continuously improve my coding skills and discover new challenges.

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