12/16/2023 0 Comments Sedgewick mergex sort time complexityThe key idea of Merge sort algorithm is to first divide a given data structure into two halves, sort the two halves individually and then merge them together. It works on the principle of Divide and Conquer technique. This process continues until the size of the list reduces to 1. Merge sort is the most preferred algorithm for sorting a linked list. The recursive call made to sort the sublists divides the sublists into even smaller sublists. * * Robert Sedgewick * Kevin Wayne */ public class MergeX Ĭopyright © 2000–2019, Robert Sedgewick and Kevin Wayne. Merge Sort Algorithm Step 1: Dividing the List Into Two Smaller Sublists We divide the list into smaller sublists and make a recursive call to sort the sublists. * * For additional documentation, see * Section 2.2 of * Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne. We will compare the results with other sorting algorithms at the end. In this article, we have explained the different cases like worst case, best case and average case Time Complexity (with Mathematical Analysis) and Space Complexity for Merge Sort. Get this book -> Problems on Array: For Interviews and Competitive Programming. ![]() * It uses &Theta ( n ) extra memory (not including the input array). Algorithms Time Complexity Sorting Algorithms. Below is the syntax highlighted version of MergeX.java
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