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)
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
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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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
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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