Welcome to my Data Structures and Algorithms repository, where I implement and explore various algorithms and data structures in C++. This repository is designed to provide a comprehensive collection of algorithms and data structures, along with their time and space complexities, to help developers and students learn and practice.

• Data Structures
• Algorithms

• Time Complexity: O(1) for access, O(n) for search
• Space Complexity: O(n)

• Time Complexity: O(n) for search, O(n) for manipulation
• Space Complexity: O(n)

• Time Complexity: O(n) for search, O(1) for insertion/deletion
• Space Complexity: O(n)

• Time Complexity: O(1) for push/pop, O(n) for search
• Space Complexity: O(n)

• Time Complexity: O(1) for enqueue/dequeue, O(n) for search
• Space Complexity: O(n)

• Time Complexity: O(log n) for search, O(n) for insertion/deletion
• Space Complexity: O(n)
• Applications: Database indexing, File systems, Compilers
• Example: File system hierarchy

• Time Complexity: O(log n) for search, O(n) for insertion/deletion
• Space Complexity: O(n)
• Applications: Heap data structure, Priority queues, Scheduling algorithms
• Example: Heap data structure

• Time Complexity: O(log n) for search, O(log n) for insertion/deletion
• Space Complexity: O(n)
• Applications: Database indexing, File systems, Compilers
• Example: B-tree index

• Time Complexity: O(log n) for search, O(n) for insertion/deletion
• Space Complexity: O(n)
• Applications: Expression trees, Syntax trees, Decision trees
• Example: Expression tree

• Time Complexity: O(n) for search, O(n) for insertion/deletion
• Space Complexity: O(n)
• Applications: Linked lists, Stacks and queues, Recursive algorithms
• Example: Linked list

• Time Complexity: O(n) for search, O(n) for traversal
• Space Complexity: O(n)

• Time Complexity: O(n^2)
• Space Complexity: O(1)

• Time Complexity: O(n^2)
• Space Complexity: O(1)

• Time Complexity: O(n^2)
• Space Complexity: O(1)

• Time Complexity: O(n log n)
• Space Complexity: O(n)

• Time Complexity: O(n log n)
• Space Complexity: O(n)

• Time Complexity: O(n)
• Space Complexity: O(1)

• Time Complexity: O(log n)
• Space Complexity: O(1)

• Time Complexity: O(n + m)
• Space Complexity: O(n)

• Time Complexity: O(n + m)
• Space Complexity: O(n)

• Time Complexity: O(n log n + m)
• Space Complexity: O(n)

• Time Complexity: O(n^3)
• Space Complexity: O(n^2)

• Time Complexity: O(n + m)
• Space Complexity: O(n)

• Time Complexity: O(n)
• Space Complexity: O(n)

This repository is licensed under the MIT License. See LICENSE for details.

Contributions are welcome! If you'd like to contribute to this repository, please fork the repository and submit a pull request.

• Ashutosh kumar for creating and maintaining this repository.