This repository contains a comprehensive collection of Data Structures and Algorithms (DSA) implemented in Java. It is designed to help students, developers, and enthusiasts understand and apply various DSA concepts through practical examples and code implementations.
- Arrays and Strings: Basic operations, sorting, and searching algorithms.
- Linked Lists: Singly, doubly, and circular linked lists with various operations.
- Stacks and Queues: Implementation and applications.
- Trees: Binary trees, binary search trees, AVL trees, and tree traversals.
- Graphs: Representations, traversal algorithms (BFS, DFS), shortest path algorithms (Dijkstra, Bellman-Ford).
- Hashing: Hash tables, collision resolution techniques.
- Sorting Algorithms: Bubble sort, merge sort, quicksort, heap sort, and more.
- Dynamic Programming: Fibonacci, knapsack problem, longest common subsequence, and other classic problems.
- Greedy Algorithms: Huffman coding, activity selection, and more.
- Backtracking: N-Queens problem, Sudoku solving, subset sum problem, and other puzzles.
- 📝 Well-Commented Code: Each implementation is well-documented with comments explaining the logic and steps involved.
- 🔍 Examples and Test Cases: Includes example inputs and outputs to demonstrate how each algorithm works.
- 📚 Educational Resources: To get the Links of tutorials, articles, and videos for further reading and understanding message me on LinkedIn
- 📂 Modular Structure: Organized by topic for easy navigation and reference.
- Java: All algorithms and data structures are implemented in Java, a widely-used programming language known for its robustness and portability.
- Java Development Kit (JDK)
- Java IDE (e.g., IntelliJ IDEA, Eclipse) or Command Line tools
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Clone the Repository:
git clone https://github.com/yadavmangesh07/DSA-With-Java cd dsa-with-java
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Run the Examples:
- Each topic folder contains Java files. You can compile and run them using a Java IDE or through the command line.
javac path/to/your/JavaFile.java java path/to/your/JavaFile
We welcome contributions to expand and improve the repository. If you have implementations, optimizations, or new topics to add, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix:
git checkout -b feature-name
- Commit your changes:
git commit -m "Description of changes"
- Push to the branch:
git push origin feature-name
- Create a Pull Request describing your changes.
For any inquiries or feedback, please contact mangeshyadav8736@gmail.com