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📚 Advanced Data Structures & Algorithms in C++ 📖 Overview

The Advanced Data Structures & Algorithms project is a collection of C++ programs that demonstrate efficient problem-solving techniques commonly used in competitive programming, coding interviews, and software development. It covers important concepts such as Hashing, Two Pointers, Sliding Window, Prefix Sum, and Hash Collision Handling, along with their implementations and practical applications.

This project was developed to strengthen algorithmic thinking and improve coding skills by implementing optimized solutions using C++. Each concept is explained through clean, modular, and easy-to-understand code.

✨ Features Implemented entirely in C++ Covers advanced data structures and algorithmic techniques Well-structured and readable code Efficient time and space complexity Beginner-friendly implementations Suitable for coding interviews and competitive programming Includes multiple problem-solving approaches 🛠 Technology Used C++

C++ is used to implement all algorithms and data structures. The project utilizes the Standard Template Library (STL), including containers such as vectors, unordered maps, sets, queues, stacks, and other utility functions to create efficient solutions.

📚 Topics Covered 🔹 Hashing Hash Maps Hash Sets Frequency Counting Duplicate Detection Counting Occurrences Lookup Optimization 🔹 Two Pointer Technique Opposite Direction Pointers Fast and Slow Pointer Pair Sum Problems Removing Duplicates Palindrome Checking Array Traversal 🔹 Sliding Window Fixed Size Window Variable Size Window Maximum Sum Subarray Longest Substring Problems Window Expansion and Shrinking 🔹 Prefix Sum Prefix Sum Arrays Range Sum Queries Prefix XOR Running Sum Efficient Query Processing 🔹 Hash Collision Collision Concept Separate Chaining Open Addressing Linear Probing Quadratic Probing Double Hashing 🎯 Learning Objectives

This project helps in understanding:

Efficient algorithm design Time complexity optimization Space complexity optimization C++ STL usage Competitive programming techniques Coding interview patterns Data structure implementation Problem-solving strategies 📂 Project Structure Advanced-Data-Structures/ │ ├── Hashing.cpp ├── TwoPointers.cpp ├── SlidingWindow.cpp ├── PrefixSum.cpp ├── HashCollision.cpp └── README.md 🚀 How to Run Clone the Repository git clone https://github.com/your-username/advanced-data-structures.git Compile g++ filename.cpp -o output

Example:

g++ Hashing.cpp -o Hashing Run ./Hashing

On Windows:

Hashing.exe 🌟 Project Highlights Developed entirely in C++ Optimized algorithms with efficient complexity Uses C++ Standard Template Library (STL) Clean and modular code structure Covers interview-focused concepts Suitable for beginners and intermediate programmers Helpful for coding practice and competitive programming 🔮 Future Enhancements Segment Trees Fenwick Trees (Binary Indexed Trees) Graph Algorithms (BFS, DFS, Dijkstra) Dynamic Programming Trie Data Structure Heap and Priority Queue Problems Disjoint Set Union (Union-Find) Backtracking Algorithms Advanced Graph Techniques 🤝 Contributing

Contributions are welcome. Feel free to fork the repository, improve the implementations, and submit a pull request.

👩‍💻 Author

Varshitha Pushadapu

Frontend Developer | B.Tech Student

📜 License

This project is licensed under the MIT License and is intended for educational and learning purposes.

⭐ If you found this project useful, consider giving the repository a Star on GitHub.

About

Advanced Data Structures is an educational application that demonstrates various data structures, their types, operations, and implementation methods through an interactive interface. It helps learners understand concepts such as Trees, Graphs, Heaps, Tries, Hash Tables, and their core operations including insertion, deletion, searching.

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