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. Analysis of  The algorithm in question 1   array = {elements in given sequence}  pair_ele1 = array[0]  pair_ele2 = array[1]  max_sum = pair_ele1 + pair_ele2  for(i=2;imax_sum && temp1>temp2){  pair_ele2 = array[i];  }  else if(temp2>max_sum && temp2>temp1){  pair_ele1 = array[i];  }  max_sum = pair_ele1 + pair_ele2;  }  print("Largest Sum = ",max_sum)

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.

Analysis of  The algorithm in question 1

 

array = {elements in given sequence} 

pair_ele1 = array[0] 

pair_ele2 = array[1] 

max_sum = pair_ele1 + pair_ele2 

for(i=2;i<n;i++){ 

temp1 = pair_ele1 + array[i]; 

temp2 = pair_ele2 + array[i]; 

if(temp1>max_sum && temp1>temp2){ 

pair_ele2 = array[i]; 

else if(temp2>max_sum && temp2>temp1){ 

pair_ele1 = array[i]; 

max_sum = pair_ele1 + pair_ele2; 

print("Largest Sum = ",max_sum)

 

 

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