1. Determine the time function for the given algorithm and then approximate the growth rate in asymptotic big oh as the input n increases towards infinity. int n, sum = 0, x; cout<<"Enter the number of items to be read: "; cin>>n; for(int i=0; i>x; sum = sum + x; k++; cout<<"Sum="<
1. Determine the time function for the given algorithm and then approximate the growth rate in asymptotic big oh as the input n increases towards infinity. int n, sum = 0, x; cout<<"Enter the number of items to be read: "; cin>>n; for(int i=0; i>x; sum = sum + x; k++; cout<<"Sum="<
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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Question
Answer the given question with a proper explanation and step-by-step solution.
Data Structures and
C++ Programming Language
![Answer the following questions by writing the solutions in MS Word and submit on the due
date shown. This is a written assignment. The first page should show your Id, Name, Program,
Assignment number and Due Date.
1. Determine the time function for the given algorithm and then approximate the growth rate
in asymptotic big oh as the input n increases towards infinity.
int n, sum = 0, x;
cout<<"Enter the number of items to be read:";
cin>>n;
for(int i = 0; i<n; i++){
for(int j = 0; j<n; j/2}{
int k = 0;
while(k <n){
}
cout<<"Read x: ";
cin>>x;
sum sum + x;
k++;
cout<<"Sum="<<sum<<endl;
sum = 0;
2. Answer the following questions which are related to Big Oh Notation
a. If a function in terms of n is f(n) = 8n² + 1000n + O(logion), express it in O-notation.
b. If g(n) = 4n²+ O(n), and statement f(n) = O(g(n)), explain this relationship and finally
confirm whether the statement is true or false.
c. List any two functions for h(n) to satisfy the statement f(n) = 2(h(n)).
d. Write a block of code (not a full program) in C++ whose time function is
T(n) = 4logan +5
e. Order the following functions by growth rate, in other words in ascending order by
smallest growth rate to the largest: N, VN, N15, N², N logN, 2/N, N/2, 2, 37, logN, N³
1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc23b2e18-2607-488b-80cb-a9d356ca6715%2F7e6e8067-938c-4728-92a5-861f4f1f9335%2Fpxiaunw_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Answer the following questions by writing the solutions in MS Word and submit on the due
date shown. This is a written assignment. The first page should show your Id, Name, Program,
Assignment number and Due Date.
1. Determine the time function for the given algorithm and then approximate the growth rate
in asymptotic big oh as the input n increases towards infinity.
int n, sum = 0, x;
cout<<"Enter the number of items to be read:";
cin>>n;
for(int i = 0; i<n; i++){
for(int j = 0; j<n; j/2}{
int k = 0;
while(k <n){
}
cout<<"Read x: ";
cin>>x;
sum sum + x;
k++;
cout<<"Sum="<<sum<<endl;
sum = 0;
2. Answer the following questions which are related to Big Oh Notation
a. If a function in terms of n is f(n) = 8n² + 1000n + O(logion), express it in O-notation.
b. If g(n) = 4n²+ O(n), and statement f(n) = O(g(n)), explain this relationship and finally
confirm whether the statement is true or false.
c. List any two functions for h(n) to satisfy the statement f(n) = 2(h(n)).
d. Write a block of code (not a full program) in C++ whose time function is
T(n) = 4logan +5
e. Order the following functions by growth rate, in other words in ascending order by
smallest growth rate to the largest: N, VN, N15, N², N logN, 2/N, N/2, 2, 37, logN, N³
1
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