
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Sort the array {3,17,38,2,43,19,25,40} using Merge Sort, also showing the recursion
tree.
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- A worst-case binary tree sort using a self-balancing binary search tree takes O(n log n) time. Merge sort is substantially faster.arrow_forwardIn Java Please Trace merge sort. Sort the data into ascending order (from smallest to largest). plit down to 1-elements array and also show how arrays are split and how the arrays can be merged. Dataset: [37, 23, 28, 21, 12, 34, 15, 19]arrow_forwardPlease answer the following, #4. Write clearly please. Create a height-balanced binary search tree from the following sorted array. 1 2 3 5 11 13 24 34 DO NOT WRITE THIS IN CODEarrow_forward
- Please answer the following, #5. Write clearly please. Create a height-balanced binary search tree from the following sorted array. 1 5 9 11 12 13 15 18 19arrow_forwardShow all steps that recursive merge sort algorithm would perform to sort the list of values [6,9,3,1,8,0,5,7,2] and mark their order of execution.arrow_forwardDefine Merge Sort algorithm. Sort the following array of elements using the Merge Sort algorithm. 13, 9, 15 ,8 , 5, 11arrow_forward
- Even when employing a self-balancing binary search tree to construct binary tree sort, the worst-case time required is O(n log n), making it slower than merge sort.arrow_forward4- Sort the list A[]={ 20, 13,4, 34, 5, 15, 90, 100, 75, 102, 112, 1} a) Using Merge Sort and show the order that the Merge procedure is performed. b) Explain the average case of Merge Sort. Give a detail explanation of how we can estimate the mean in relationship with the worst and best-case scenarios (hint: use the answer for question 3 as a lower-bound for the average).arrow_forwardTrace counting sort on the following list L of unordered keys which lie withinthe range [10, 18].L[1:10]: 16 11 18 13 11 12 15 15 18 16arrow_forward
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