Design and Analysis of Algorithms - Exam Review

Introduction

The Design and Analysis of Algorithms exam for B.Tech students covers various topics such as Hamiltonian Cycle, Backtracking, Branch and Bound Technique, and more. The exam consists of multiple-choice questions, theoretical questions, and problem-solving tasks.

Key Points

- The exam includes questions on algorithm running times, complexity analysis, sorting techniques, and graph algorithms.
- Students need to differentiate between Recursive and Iterative Algorithms, understand the Master's Method, and solve recurrence relations.
- Stable Sorting Algorithms, Divide & Conquer Strategy, and Binary Search Algorithm are essential topics covered in the exam.
- Students are required to demonstrate knowledge of sorting algorithms like Insertion Sort and Heap Sort.
- Understanding concepts like Prims and Kruskal's Algorithms, Huffman Coding, and Dynamic Programming is crucial for the exam.
- Problem-solving tasks involve scenarios like the 0/1 Knapsack Problem, Shortest Path algorithms, and Backtracking for specific problems.

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