Assume we want to sort an array A[1..n] based on merge sort algorithm and you have been already provided with an implementation of the merge procedure Merge(A, p, q, r) to combine two sorted arrays A[p..q] and A[q+1..r], that is you can use this procedure directly: Write the pseudocode for the merge sort algorithm. Draw a tree diagram to demonstrate the merge sorting process of the following sequence: 5 4 3 2 1. Similarly, if you are provided with a procedure Find-Max-Crossing-Subarray (A, low, mid, high), write the pseudocode for a divide-and-conquer algorithm to solve the maximum subarray problem, which has been described in Question 2. Here is question 2 for the third part (I have also provided an image of the array problem as well): Given an array A[1…n] of numeric values (can be positive, zero, and negative) determine the subarray A[i…j] (1≤ i ≤ j ≤ n) whose sum of elements is maximum over all subvectors. Below is a brute-force algorithm. Analyze its best case, worst case and average case time complexity in terms of a polynomial of n and the asymptotic notation of ɵ. You need to show the steps of your analysis.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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  1. Assume we want to sort an array A[1..n] based on merge sort algorithm and you have been already provided with an implementation of the merge procedure Merge(A, p, q, r) to combine two sorted arrays A[p..q] and A[q+1..r], that is you can use this procedure directly:
  • Write the pseudocode for the merge sort algorithm.
  • Draw a tree diagram to demonstrate the merge sorting process of the following sequence: 5 4 3 2 1.
  • Similarly, if you are provided with a procedure Find-Max-Crossing-Subarray (A, low, mid, high), write the pseudocode for a divide-and-conquer algorithm to solve the maximum subarray problem, which has been described in Question 2.

Here is question 2 for the third part (I have also provided an image of the array problem as well):

Given an array A[1…n] of numeric values (can be positive, zero, and negative) determine the subarray A[ij] (1≤ ijn) whose sum of elements is maximum over all subvectors. Below is a brute-force algorithm. Analyze its best case, worst case and average case time complexity in terms of a polynomial of n and the asymptotic notation of ɵ. You need to show the steps of your analysis.

MAX-SUBARRAY-BRUTE-FORCE (A)
n = A.length
max-so-far
88
for 1 to n
sum = 0
for h=1 to n
sum = sum + A[h]
if sum > max-so-far
max-so-far sum
low = 1
high = h
return (low, high)
=
Transcribed Image Text:MAX-SUBARRAY-BRUTE-FORCE (A) n = A.length max-so-far 88 for 1 to n sum = 0 for h=1 to n sum = sum + A[h] if sum > max-so-far max-so-far sum low = 1 high = h return (low, high) =
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