Follow these steps each time it needs to find two arrays to merge in order to create a bottom-up mergesort that makes advantage of the array's order: To create a sorted subarray, first find the first member in an array that is smaller than its predecessor, then find the second, and so on. When examining the execution time of this procedure, take into account the array size and the number of maximal ascending sequences in the array.

Follow these steps each time it needs to find two arrays to merge in order to create a bottom-up mergesort that makes advantage of the array's order: To create a sorted subarray, first find the first member in an array that is smaller than its predecessor, then find the second, and so on. When examining the execution time of this procedure, take into account the array size and the number of maximal ascending sequences in the array.

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Write a bottom-up mergesort that makes use of the array's order by carrying out the following steps each time it needs to locate two arrays to merge: locate the first element in an array that is smaller than its predecessor, then locate the next, and finally merge them to form a sorted subarray. Consider the array size and the number of maximal ascending sequences in the array while analysing the running time of this method.
Implement external sort: for sort phase use normal sort, for merge phase use two way merge to merge n sorted files (merge2way(n)), for array sort use heapsort. Also write merge(f1, f2, f3) to merge two sorted files f1 and f2 into f3.. Write mergenway(n) method and print execution time of both merges for initial input file over 10MB data. A sample input is as follow:Note:First input is max array size for sort 10 84 82 52 80 96 85 75 75 82 87 92 89 57 94 93 92 63 99 87 72 73 56 74 50 84 62 72 55 86 75 74 100 83 60 53 68 89 67 66 65 72 94 73 54 98 96 85 75 75 82 87 92 89
The best case behaviour occurs for quick sort when the partition function splits the sequence of size n into subarrays of size: Select one: a.n/4 : 3n/4 b.n/4 : 3n/2 c.3n/8 : (5n/8) d.n/2 : (n/2)-1 e.n/2 : n/3
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Follow these steps every time it has to identify two arrays to merge in order to develop a bottom-up mergesort that takes use of the order of the arrays: To make a sorted subarray, locate the first item of an array that is smaller than its predecessor, then the second, and so on. Consider the array size and the number of maximal ascending sequences in the array when calculating the execution time of this method.
Write a program to compute the exact value of the number of array accesses usedby top-down mergesort and by bottom-up mergesort. Use your program to plot the values for N from 1 to 512, and to compare the exact values with the upper bound 6N lg N.
Please do not give solution in image formate thanku.