https://github.com/kirtipratihar/data_structure_and_analysis_of_algorithm
This repository is a comprehensive collection of solutions and implementations for various **Data Structures** and **Algorithms**. The aim is to provide a practical reference and educational resource for learning and mastering key concepts in DSAA.
https://github.com/kirtipratihar/data_structure_and_analysis_of_algorithm
array arraylist linked-list queue sorting-algorithms sorting-algorithms-implemented stack
Last synced: 6 months ago
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This repository is a comprehensive collection of solutions and implementations for various **Data Structures** and **Algorithms**. The aim is to provide a practical reference and educational resource for learning and mastering key concepts in DSAA.
- Host: GitHub
- URL: https://github.com/kirtipratihar/data_structure_and_analysis_of_algorithm
- Owner: KirtiPratihar
- License: mit
- Created: 2024-08-13T06:49:15.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-10T15:05:34.000Z (about 1 year ago)
- Last Synced: 2025-02-06T06:16:47.162Z (8 months ago)
- Topics: array, arraylist, linked-list, queue, sorting-algorithms, sorting-algorithms-implemented, stack
- Language: C++
- Homepage:
- Size: 185 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## Description
This repository is a comprehensive collection of solutions and implementations for various **Data Structures** and **Algorithms**. The aim is to provide a practical reference and educational resource for learning and mastering key concepts in DSAA.
### Key Features
- **Implementations**: Detailed implementations of common data structures (e.g., arrays, linked lists, trees, graphs) and algorithms (e.g., sorting, searching, dynamic programming).
- **Problem Solutions**: Solutions to classic problems and challenges from competitive programming platforms.
- **Visualizations**: Where applicable, visualizations to help understand complex data structures and algorithms.
- **Test Cases**: A set of test cases to validate the correctness of the implementations.
### Topics Covered
- **Data Structures**: Arrays, Linked Lists, Stacks, Queues, Hash Tables, Trees, Graphs, Heaps, etc.
- **Algorithms**: Sorting (Bubble, Merge, Quick, etc.), Searching (Binary Search, BFS, DFS), Dynamic Programming, Greedy Algorithms, etc.
- **Advanced Topics**: Graph Algorithms, Network Flow, String Processing, etc.
### Usage
To get started, clone the repository and navigate through the organized folders for different data structures and algorithms. Each implementation includes comments and explanations to help understand the code and concepts. Run the provided test cases to verify the correctness of the implementations.
### Contributing
Contributions are welcome! If you have improvements, new implementations, or bug fixes, please submit a pull request. For major changes, open an issue to discuss the proposed changes.