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Design and Analysis of Algorithms (DAA) University Exam Prep

Welcome to the DAA University Exam Preparation repository! This comprehensive collection of algorithms and data structures is designed to help you excel in your Design and Analysis of Algorithms course. Whether you're gearing up for exams or simply looking to deepen your understanding, you'll find a wealth of resources here.

Index:

1. Sorting Algorithms

   • Explore various sorting algorithms such as Bubble Sort, Insertion Sort, Selection Sort, Merge Sort, Quick Sort, and more. Understand their working principles and efficiency.

2. Divide and Conquer

   • Delve into the Divide and Conquer paradigm with examples like Merge Sort, Binary Search, and Matrix Multiplication. Master the art of breaking down complex problems into manageable subproblems.

3. Greedy Methods

   • Learn the principles of Greedy Algorithms through examples like Huffman Coding, Activity Selection, and Dijkstra's Algorithm. Understand how making locally optimal choices can lead to global optimization.

4. Minimum Spanning Tree

   • Explore algorithms for finding Minimum Spanning Trees, including Prim's and Kruskal's algorithms. Understand their applications in network design and optimization.

5. Single Source Shortest Path

   • Master algorithms for finding the shortest path from a single source to all other vertices in a graph. Dive into Dijkstra's Algorithm and Bellman Ford Algorithm.

6. Dynamic Programming

   • Explore the world of Dynamic Programming with examples such as the Knapsack Problem, Longest Common Subsequence, and Matrix Chain Multiplication. Uncover the power of optimal substructure and overlapping subproblems.

7. Trees & Heaps

   • Understand the fundamentals of Trees and Heaps. Explore Binary Trees, AVL Trees, and Heap Sort. Learn how these data structures contribute to efficient algorithm design.

8. String Matching Algorithms

   • Master the art of pattern matching with algorithms like Brute Force, Knuth-Morris-Pratt, and Boyer-Moore. Enhance your skills in efficiently searching for patterns within strings.

How to Use:

1. Navigate to the specific algorithm or data structure directory.
2. Explore the code, understand the algorithms, and run examples.
3. Use the provided explanations and comments for in-depth understanding.
4. Contribute by suggesting improvements, reporting issues, or adding new algorithms.

Happy coding and best of luck with your DAA exam preparation! Feel free to reach out if you have any questions or suggestions.

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