Скачать или смотреть Chapter 3 - Sorting Algorithms | DSA Series | StudyPalz

In this video, we dive deep into Fundamental Sorting Algorithms and their analysis in C++. Whether you are preparing for a coding interview or studying for your computer science exams, this tutorial breaks down the logic, code implementation, and time complexity for the four most essential sorting methods.
We cover the following algorithms:
• Selection Sort: We examine the logic of repeatedly finding the "minimum element from the unsorted part" and swapping it to the beginning. We also discuss why this method consistently performs at O(n^2) time complexity regardless of the input data.
• Bubble Sort: Learn how this algorithm "bubbles" the largest element to the end by swapping adjacent elements. We specifically cover the Optimization technique using a swapped flag to detect if the array is already sorted, allowing for a best-case time complexity of O(n).
• Insertion Sort: We explain this method using the analogy of "arranging playing cards in your hand". You will see how the code "shifts elements greater than current" to insert values into their correct spots.
• Counting Sort: Discover this "Non-Comparison" algorithm that works by counting the "frequency of each distinct number". We look at how it utilizes a count array to achieve O(n+k) efficiency, making it ideal for small number ranges.
Practice Questions Included: Stick around until the end for a practice session where we tackle specific scenarios, such as identifying which algorithm is most efficient for an already sorted array and tracing the exact movement of elements during the first pass of an Insertion Sort.