please answer briefly thanks  Analyze the worst-case time complexity of the bottom algorithms that I generated in the question 1 Assume the length of the input sequence is n. Do not use Big-O notation.      question 1,  Analysis of the algorithm in part 1 array = {elements in given sequence}  pair_ele1 = array[0]  pair_ele2 = array[1]  n = length(array)  for(i=0;i(pair_ele1+pair_ele2)){  pair_ele1 = array[i];  pair_ele2 = array[j];  }  }  }  print("Largest Sum = ",(pair_ele1)+(pair_ele2))

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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please answer briefly thanks 

Analyze the worst-case time complexity of the bottom algorithms that I generated in the question 1 Assume the length of the input sequence is n. Do not use Big-O notation.

 

   question 1,

 Analysis of the algorithm in part 1

array = {elements in given sequence} 

pair_ele1 = array[0] 

pair_ele2 = array[1] 

n = length(array) 

for(i=0;i<n;i++) { 

for(j=i+1;j<n;j++){ 

if((array[i]+array[j])>(pair_ele1+pair_ele2)){ 

pair_ele1 = array[i]; 

pair_ele2 = array[j]; 

print("Largest Sum = ",(pair_ele1)+(pair_ele2))

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