Introduction to Divide and Conquer
Divide and Conquer is an algorithmic paradigm in which the problem is solved using the Divide, Conquer, and Combine strategy.
A typical Divide and Conquer algorithm solves a problem using following three steps:
- Divide: This involves dividing the problem into smaller sub-problems.
- Conquer: Solve sub-problems by calling recursively until solved.
- Combine: Combine the sub-problems to get the final solution of the whole problem.
Below are different algorithms which are based on Divide and Conquer:
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