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Sorting algorithms play a major role in every job interview. They are most frequently asked. And thus it makes it really necessary for us to have a proper understanding of these algorithms. So far we have studied sorting algorithms like insertion sort, selection sort, bubble sort, etc. Also, we have discussed the divide and conquer approach through which we have done two sorting algorithms, merge sort and quick sort. The best time complexity we have been through so far is O(nlogn). But in today’s video, we are gonna see some advanced sorting algorithms and then we will analyze their time complexity and will see whether it’s better than the time complexities of the algorithms that we have studied so far. As always, we will be diving deeper into the logical understanding of these advanced sorting algorithms. Looking into each and every step of each algorithm. Then we will see the line-by-line code in C++, followed by the dry run and proper explanation of each line of code written by Urvi ma’am. Also, we will look at the time and space complexity of each algorithm and see how is it better than others. Access the notes and assignments for this class for free at : ▶️https://pwskills.com/course/C++--Foun... PW Skills is announcing the launch of the following programs, Binary Batch:- Java-with-DSA-&-System-Design (Java with DSA & System Design) https://pwskills.com/course/Java-with... (Hindi) https://pwskills.com/course/Java-with... (English) Sigma Batch:- Full-Stack-Web-Development (MERN Stack) https://pwskills.com/course/Full-Stac... (Hindi) https://pwskills.com/course/Full-Stac... (English) Impact Batch:- Data-Science-Masters (Full Stack Data Science) https://pwskills.com/course/Data-Scie... (Hindi) https://pwskills.com/course/Data-Scie... (English) Website - https://pwskills.com/ Instagram - / pwcollegewallah LinkedIn - / ineuron-ai / physicswallah Telegram - https://t.me/SkillsPW Discord - / discord Twitter - / pw__skills TIME STAMPS: 0:00 Introduction 00:00:21 - Sorting Algorithms done till now 00:00:43 - Improving complexities by today’s algorithms 00:01:03 - Recap 00:02:14 - Today’s Checklist 00:02:22 - Count Sort 00:17:31 - Code 00:27:25 - Dry Run 00:30:31 - Time Complexity 00:32:58 - Space Complexity 00:34:10 - Where can’t we use Count Sort 00:34:36 - Count Sort on Negative Numbers 00:36:28 - Don’t use Count Sort in this scenario 00:37:00 - Radix Sort 00:41:45 - Code 00:55:35 - Dry Run 01:05:15 - Time Complexity 01:06:15 - Space Complexity 01:06:39 - Next Lecture 01:07:04 - Thank you #C #DSA #countsort #radixsort #problemsolving #Lecture41 #sorting #basicproblems #DataStructures #CodingChallenges #Debugging #SortingAlgorithms #LogicalThinking #PWskills #PhysicsWallah #CollegeWallah