Join Raghavendra Dixit for an in-depth discussion in this video Quicksort, part of Introduction to Data Structures & Algorithms in Java.
- [Instructor] The quick sort algorithm,…as the name suggests, is a pretty fast algorithm,…but in the worst scenario, this algorithm takes order…of n squared time.…And that's not good news.…So why do we use it?…Well, because it has been found…that on an average, it takes order of n log n time,…which is kind of as good as merge sort.…And because the constant factors…are smaller in case of quick sort,…it performs better than merge sort in most cases.…
Another advantage that quick sort has over merge sort…is quick sort can be done in place,…that is, without using any extra memory space,…which is proportional to the data size.…If you recall, in the merge sort algorithm,…we used to create temporary arrays,…whose total size was equal to the size…of the array to be sorted,…so merge sort was not in place, all right?…As long as we use a constant amount of temporary space,…the sort is said to be in place.…
Even if we create a thousand temporary variables…while running an algorithm,…that algorithm is still in place.…Usually, that does not happen, but still,…
Note: This course was created by Packt Publishing. We are pleased to host this training in our library.
- Why study data structures and algorithms?
- How to calculate the time complexity
- Using Big O notation
- Using basic sorting and search algorithms
- Searching elements in unordered arrays and ordered arrays
- Implementing a linked list in Java
- Implementing stacks using arrays
- Queues using arrays
- Binary search trees
- Representing heaps using arrays
Skill Level Intermediate
1. Introduction to Algorithms
2. Analysis of Algorithms
3. Basic Sorting and Search Algorithms
4. Linked Lists
5. Stacks and Queues
7. Binary Search Trees
8. More Sorting Algorithms
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