Practice problems on Divide and Conquer Algorithm
- Square root of an integer
- Maximum and minimum of an array using minimum number of comparisons
- Find frequency of each element in a limited range array in less than O(n) time
- Tiling Problem
- Count Inversions
- The Skyline Problem
- Search in a Row-wise and Column-wise Sorted 2D Array
- Allocate minimum number of pages
- Modular Exponentiation (Power in Modular Arithmetic)
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Divide and Conquer Algorithm
Divide and Conquer algorithm is a problem-solving strategy that involves breaking down a complex problem into smaller, more manageable parts, solving each part individually, and then combining the solutions to solve the original problem. It is a widely used algorithmic technique in computer science and mathematics.
Example: In the Merge Sort algorithm, the “Divide and Conquer” strategy is used to sort a list of elements. Below image illustrate the dividing and merging states to sort the array using Merge Sort.
Table of Content
- What is Divide and Conquer?
- Stages of Divide and Conquer
- Applications of Divide and Conquer
- Basics of Divide and Conquer
- Standard Algorithms on Divide and Conquer
- Binary Search based problems
- Practice problems on Divide and Conquer