Join Raghavendra Dixit for an in-depth discussion in this video Insertion sort revisited, part of Introduction to Data Structures & Algorithms in Java.
- You have already seen how insertion sort works…and what is the logic behind it.…Now one problem with insertion sort…algorithm is that it takes a whole lot…of time in moving the data to…adjacent slots to make space for the new element…that has to be put in the sorted part.…So if the array is reverse sorted.…It just takes a whole lot of time…and that is the worst case scenario…for insertion sort.…And if the array is nearly sorted then insertion…sort works quite fast almost taking linear time.…
Now instead of arrays, if we store the…data to be sorted in a doubly linked…list the time taken to run the insertion…sort algorithm improves significantly.…Remember, the worst case time complexity…is still of the order n squared.…But the constant factors are now…significantly less.…So in reality the algorithm takes much less…time to sort and the reason is…after we find the place in the sorted…part of the array where the new element…of the unsorted part is to be inserted…we don't need to move the element of the sorted…part to make space for the new element.…
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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