Why Quick Sort preferred for Arrays and Merge Sort for Linked Lists? – Searching and Sorting – Quick Sort in its general form is an in-place sort. whereas merge sort requires O(N) extra storage, N denoting the array size which may be quite expensive.
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QuickSort on Doubly Linked List – Searching and sorting -. The idea is simple, we first find out pointer to last node. Once we have pointer to last node, we can recursively sort the linked list using pointers to first and last nodes of linked list.
Iterative Quick Sort – Searching and Sorting – Partition process is same in both recursive and iterative. The same techniques to choose optimal pivot can also be applied to iterative version.
When does the worst case of Quicksort occur? – Searching and sorting – Since these cases are very common use cases, the problem was easily solved by choosing either a random index for the pivot.
QuickSort – Searching and Sorting – Like Merge Sort, QuickSort is a Divide and Conquer algorithm. It picks an element as pivot and partitions.There are many different versions of quickSort that pick pivot in different ways.
Heap Sort – Searching and Sorting – Heap sort is a comparison based sorting technique based on Binary Heap data structure. It is similar to selection sort.where we first find the maximum element and place the maximum element at the end.
Merge Sort – searching and sorting algorithm – Like QuickSort, Merge Sort is a Divide and Conquer algorithm. It divides input array in two halves.
Bubble Sort – searching and sorting algorithm – Bubble Sort is the simplest sorting algorithm that works by repeatedly swapping the adjacent elements .