Merge sort time complexity

**Merge Sort**- Free download as Powerpoint Presentation (.ppt / .pptx), PDF File (.pdf), Text File (.txt) or view presentation slides online. ... MSS(a,2,2,3,3) If(2<2) If(3<3) 2 6**Complexity**Analysis –**Merge Sort Time Complexity**As we have already learned in Binary Search that whenever we divide a number into half in every step, it can be ...- Know Thy
**Complexities**! Hi there! This webpage covers the space and**time**Big-O**complexities**of common algorithms used in Computer Science. When preparing for technical interviews in the past, I found myself spending hours crawling the internet putting together the best, average, and worst case**complexities**for search and**sorting**algorithms so that I wouldn't be stumped when **Time complexity**of**Merge Sort**is O(n*Log n) in all the 3 cases (worst, average and best) as**merge sort**always divides the array in two halves and takes linear**time**to**merge**two halves. It requires equal amount of additional space as the unsorted array. Hence its not at all recommended for searching large unsorted arrays.**Time complexity**• Let T(n) be the**time complexity**to**sort**(with**merge sort**) an array of n elements. –Assume n is a power of 2 (i.e. n = 2k). • What is the**time complexity**to: –Split the array in 2: c –**Sort**each half (with**MERGESORT**): T(n/2)**Merge sort**is a comparison-based**sorting**algorithm that follows a divide and conquers paradigm to**sort**the elements in ascending or descending order. Though it is a comparison based**sorting**technique, it is different from bubble or selection**sort**. The logic may be little complicated than those**sorting**technique but this**sorting**technique are better in terms of**time complexity**and