Application of Divide & Conquer in Binary Search
Binary Search is a search algorithm that efficiently finds a target value within a sorted array. It repeatedly divides the search space in half until the target is found or the search space is empty.
Algorithm Steps:
- Initialize low, high, and mid indices.
- Compare the target with the element at the mid index.
- If the target is found, return the index.
- If the target is smaller, update the high index to mid – 1.
- If the target is larger, update the low index to mid + 1.
- Repeat the process until the target is found or the search space is empty.
Divide and Conquer Notes for GATE Exam [2024]
Those preparing for the GATE (Graduate Aptitude Test in Engineering) exam in 2024 face many algorithmic challenges. Among the various algorithmic paradigms, “Divide and Conquer” stands out as a powerful approach to problem-solving. In this comprehensive guide for the GATE Exam, Divide and Conquer, and its applications will be explored through a range of important topics. These notes aim to provide a solid foundation for mastering these concepts in preparation for the upcoming GATE exam.
Table of Content
- Introduction to Divide and Conquer
- Application of Divide & Conquer in Binary Search
- Application of Divide & Conquer in Merge Sort
- Application of Divide & Conquer in Quick Sort
- Standard Problems that uses Divide and Conquer Algorithm
- Advantages of Divide and Conquer Algorithm
- Disadvantages of Divide and Conquer Algorithm
- Previously Asked GATE Questions on Divide and Conquer
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