-> What is the tightest bound big-Oh (O) time complexity for the following code in terms of input size n? Show all necessary steps pls: Algorithm MyAlgorithm (A,B) Input: Arrays A and B each storing n >= 1 integers. Output: What is the output? (Refer to part b below) Start: count = 0 for i = 1 to n*n do { sum = 0 for j = 1 to i do { sum = sum + A[0] for k = 1 to j do if (k <= n-1) sum = sum + A[k] } if (i < n) if B[i -1] <= sum then count = count + 1 } return count -> Pls document a hand-run on MyAlgorithm for input arrays below and show the final output. A = [10 22 55 90] and B = [2 8 40 27 70]
-> What is the tightest bound big-Oh (O) time complexity for the following code in terms of input size n? Show all necessary steps pls: Algorithm MyAlgorithm (A,B) Input: Arrays A and B each storing n >= 1 integers. Output: What is the output? (Refer to part b below) Start: count = 0 for i = 1 to n*n do { sum = 0 for j = 1 to i do { sum = sum + A[0] for k = 1 to j do if (k <= n-1) sum = sum + A[k] } if (i < n) if B[i -1] <= sum then count = count + 1 } return count -> Pls document a hand-run on MyAlgorithm for input arrays below and show the final output. A = [10 22 55 90] and B = [2 8 40 27 70]
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
Problem 1PE
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-> What is the tightest bound big-Oh (O) time complexity for the following code in terms of input size n? Show all necessary steps pls:
Input: Arrays A and B each storing n >= 1 integers.
Output: What is the output? (Refer to part b below)
Start:
count = 0
for i = 1 to n*n do {
sum = 0
for j = 1 to i do {
sum = sum + A[0]
for k = 1 to j do
if (k <= n-1)
sum = sum + A[k]
}
if (i < n)
if B[i -1] <= sum then count = count + 1
}
return count
-> Pls document a hand-run on MyAlgorithm for input arrays below and show the final output.
A = [10 22 55 90] and B = [2 8 40 27 70]
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