DSA Interview Revision | 3 Commonly Asked Problems
Learn efficient algorithms for matrix rotation and array merging in this video tutorial. We explore both brute force and optimal solutions, focusing on reducing time and space complexity. The matrix rotation example demonstrates a space-efficient approach using the transpose and reverse operations. In the array merging section, we compare a solution with extra space to an optimal in-place algorithm, both achieving the same result. Dive into the world of algorithmic optimization and enhance your problem-solving skills!
🔍 Topics Covered:
Matrix Rotation
Brute Force Solution (N x N time and space complexity)
Optimal Solution (N x N time, O(1) space complexity)
Reference: https://takeuforward.org/data-structu...
Interval Merging
Problem Statement: Merging Overlapping Intervals
Solution Approach: Sorting and Merging
Time Complexity: N log N + N
Reference: https://takeuforward.org/data-structu...
Array Combining without Extra Space
Approach: In-place merging of two sorted arrays
Time Complexity: N log N (for sorting both arrays separately) + M log M
Space Complexity: O(1)
Reference: https://takeuforward.org/data-structu...
🚀 Enhance your algorithmic skills with these efficient solutions! Comment below if you have any questions or suggestions for future algorithm tutorials. Don't forget to like and subscribe for more content! 💡✨
#algorithm #Programming #Optimization #CodeOptimization #MatrixRotation #ArrayMerging
