Welcome to Stralgo, a robust and versatile library of algorithms implemented in C#. This repository is designed to help developers and enthusiasts explore and utilize a wide range of algorithms across various domains, including dynamic programming, greedy algorithms, graph theory, and more.
Stralgo is a collection of algorithm implementations in C#. Whether you're preparing for coding interviews, working on competitive programming, or just looking to improve your algorithmic skills, Stralgo has something for you. The repository covers a wide array of algorithmic techniques and data structures, making it a valuable resource for developers of all levels.
- Dynamic Programming: Solve complex problems by breaking them down into simpler subproblems.
- Greedy Algorithms: Find optimal solutions by making the best choice at each step.
- Graph Algorithms: Explore graph traversal, shortest paths, and more.
- Backtracking: Solve constraint satisfaction problems like N-Queens.
- Data Structures: Implement and utilize linked lists, trees, tries, and more.
- Bit Manipulation: Perform efficient operations on binary representations.
- Sliding Window: Optimize solutions for problems involving contiguous subarrays or substrings.
The repository is organized into directories, each representing a different category of algorithms or data structures. Here's an overview:
- 1D_DynamicProgramming: Algorithms like House Robber.
- 2D_DynamicProgramming: Multi-dimensional dynamic programming problems.
- AdvancedGraphs: Complex graph algorithms.
- Arrays_Hashing: Array manipulation and hashing techniques.
- Backtracking: Backtracking algorithms like N-Queens.
- BinarySearch: Efficient searching algorithms.
- BitManipulation: Bitwise operations and algorithms.
- Graphs: Graph traversal and pathfinding algorithms.
- Greedy: Greedy algorithms for optimization problems.
- Heap_PriorityQueue: Priority queue implementations.
- Intervals: Interval-related algorithms.
- LinkedList: Single and doubly linked list implementations.
- Math&Geometry: Mathematical and geometric algorithms.
- SlidingWindow: Sliding window techniques for subarray problems.
- Stack: Stack-based algorithms.
- Tries: Trie data structure implementations.
- TwoPointers: Two-pointer techniques for array problems.
To get started with Stralgo, follow these steps:
-
Clone the repository:
git clone https://github.com/saeedgz98/stralgo.git cd stralgo -
Open the solution in Visual Studio: Open
Stralgo.slnin Visual Studio to explore and run the projects. -
Build and run: Build the solution and run the desired project to see the algorithms in action.
Dive into the world of algorithms with Stralgo and enhance your problem-solving skills today! If you have any questions or need further assistance, feel free to open an issue or contact us.
Happy coding! 🚀