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Merge sort refers to the algorith which follow the concept of divide and conquer method for sorting the set of elements by consuming less time.It process by breaking the big problem into smaller one then solve these sub smaller problem and finally combine their solutions to find the solution for the original big problem. It also sort the unsorted array with n elements by dividing it into n subarray and merging these subarray in order to generate new sorted subarrays, and finally one complete sorted array is produced.It uses the merge() function for merging two halves and the Time complexity for all three cases i.e.worst, average and best case is O(n*Log n).
Merge sort is process that repeatedly divides the data in half, sorts each half, and combines the sorted halves into a sorted whole , its all done with the help of an algorithm which is left half sorted and right half sorted. Some of the basic terminologies used in sorting are Stability in sorting algorithms Time complexities of Standard Sorting Algorithms External Sorting.
There are different types of sorting algorithms such as:-
- Bubble Sort
- Insertion Sort
- Selection Sort
- Quick Sort
- Merge Sort
- Recursive Bubble Sort
- Recursive Insertion Sort
- Iterative Merge Sort
- Counting Sort
- Radix Sort
- Bucket Sort
- Comb Sort
- Pigeonhole Sort
- Cycle Sort
- Cocktail Sort
- Strand Sort
Topics Help For Merge Sort
- Sorting,Priority queue,Time Complexity,Sorted sequence,InsertItem,Divide and Conquer,Algorithms,Input size
- Recurse,Least elements,Sequences,Recursive sort,Merge Sort Tree,Binary tree,node,Recursive call of the,External nodes
- Running Time of MergeSort,Set ADT,Generic Merging,Skew heap,Ordered binary tree,Balancing condition
- Logarithmic amortized time,Splay tree,Merging,Insert,priority queue,Find minimum,Delete minimum
- Parent node,Simplistic Merging of Heap Ordered Trees,Recursively merge tree,Single right path,Merging a skew heap,Pairing heap