Data Structures and Algorithms Practice

Welcome to my comprehensive repository of data structures and algorithms implemented in C++. This collection serves as both my personal learning journey and a resource for others looking to enhance their understanding of fundamental computer science concepts.

📚 Repository Overview

This repository contains implementations of various data structures and algorithms, with code examples, explanations, and practice problems to reinforce learning. Each implementation includes detailed comments and time/space complexity analysis.

🧩 Data Structures

• Arrays and Strings

  • Dynamic arrays
  • String manipulation algorithms

• Linked Lists

  • Singly linked lists
  • Doubly linked lists
  • Circular linked lists

• Stacks and Queues

  • Array-based implementations
  • Linked list-based implementations
  • Priority queues

• Trees

  • Binary trees
  • Binary search trees
  • AVL trees
  • Red-black trees
  • Tries

• Heaps

  • Min heaps
  • Max heaps
  • Heap operations

• Graphs

  • Adjacency matrix
  • Adjacency list
  • Graph traversals

🔍 Algorithms

• Sorting

  • Bubble sort
  • Selection sort
  • Insertion sort
  • Merge sort
  • Quick sort
  • Heap sort

• Searching

  • Linear search
  • Binary search
  • Depth-first search
  • Breadth-first search

• Dynamic Programming

  • Memoization
  • Tabulation
  • Common DP problems

• Greedy Algorithms

  • Activity selection
  • Huffman coding
  • Minimum spanning trees

• Divide and Conquer

  • Binary search
  • Merge sort
  • Quick sort

🚀 Getting Started

Prerequisites

• C++ compiler (GCC, Clang, or MSVC)
• Basic understanding of C++ syntax

Compilation

Most programs can be compiled with:

g++ -std=c++17 filename.cpp -o output

Running

./output

📝 Learning Structure

Each implementation follows this structure:

1. Concept Explanation: Brief overview of the data structure or algorithm
2. Implementation: Well-commented C++ code
3. Time/Space Complexity: Analysis of efficiency
4. Use Cases: When to use this approach
5. Practice Problems: Problems solved using the implementation

🤝 Contributions

While this is primarily a personal learning repository, suggestions and improvements are welcome. Feel free to:

• Open issues for suggestions
• Submit pull requests with improved implementations
• Share additional practice problems

📖 Resources

• Introduction to Algorithms by Cormen, Leiserson, Rivest, and Stein
• Competitive Programmer's Handbook by Antti Laaksonen
• GeeksforGeeks
• LeetCode

📜 License

This repository is available under the MIT License - see the LICENSE file for details.

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Happy coding and problem-solving!