Data Structures 2 Course Labs

This repository contains implementations of core data structures and algorithms covered in the Data Structures 2 course. The main projects include:

1. Sorting Algorithms
2. Hashing Techniques
3. Shortest Paths Finder

All projects are implemented in Java, showcasing fundamental concepts and practical applications.

Overview

1. Sorting Algorithms

This project includes various sorting algorithms to sort arrays or lists of elements. The implementation demonstrates both comparison-based and non-comparison-based sorting techniques.

Algorithms Implemented:

• Insertion Sort
• Merge Sort
• Radix Sort

Features:

• Sorting of integer arrays and lists.
• Performance comparison through benchmarking.
• Visualization of sorting processes.

2. Hashing Techniques

This project focuses on implementing hashing techniques and hash table structures to manage and retrieve data efficiently. It includes different hashing methods and collision resolution strategies.

Techniques Implemented:

• N method
• N^2 Method

Features:

• Insert, delete, and search operations.
• Handling of hash collisions.
• Performance analysis of different hashing techniques.

3. Shortest Paths Finder

This project implements algorithms to find the shortest paths in weighted graphs. It includes algorithms for both directed and undirected graphs.

Algorithms Implemented:

• Dijkstra's Algorithm: For finding the shortest paths from a single source to all other nodes in a graph with non-negative weights.
• Bellman-Ford Algorithm: For finding the shortest paths from a single source in a graph that may contain negative weights.
• Floyd-Warshall Algorithm: For finding shortest paths between all pairs of nodes.

Features:

• Graph representation and adjacency matrix.
• Pathfinding and distance calculations.
• Handling of different types of graphs (directed, undirected).

Technologies Used

• Programming Language: Java
• IDE: IntelliJ IDEA / Eclipse / Any preferred Java IDE