• Try different n values, and compare the execution times of two functions. Please compare the time complexity of two functions and explain which function is better when n is large and why this function is better, add your answer as comment at the beginning of lab04.cpp. The sample run: $ g++ lab04.cpp -o lab04. $ ./lab04 Please enter x: 3 Please enter n: 10 88573 The execution time is : 4.7292e-05 88573 The execution time is 5.294e-06 $ ./lab04 Please enter x: 3. Please enter n: 100 13969809805403233721 The execution time is 0.000104452 13969809805403233721 The execution time is : 6.633e-06 $ ./lab04 Please enter x: 3 Please enter n: 1000 $ ./lab04 Please enter x: 3 Please enter n: 10000 $ ./lab04 Please enter x: 3 Please enter n: 100000 Lab Exercise The following C++ program lab04.cpp prints the result and execution times of two functions that calculate the geometric series sum using different algorithms. You are supposed to implement two functions to calculate the geometric sum. #include #include #include #include using namespace std; long long int geom_sum1 (int x, int n); long long int geom_sum2 (int x, int n); int main() { int x = 1; } int n = 1; cout << "Please enter x: "; cin >> x; cout << "Please enter n: "; cin >> n; using clock = chrono::steady_clock; clock::time_point start = clock::now(); cout << geom_sum1(x, n) << endl; clock::time_point end = clock::now(); clock: duration time span = end start; double nseconds = double(time_span.count()) * clock::period: : num clock: : period::den; cout << "The execution time is : " << nseconds << endl; start = clock::now(); cout << geom_sum2(x, n) << endl; end = clock::now(); time_span= end - start; nseconds = double(time_span.count()) * clock::period: : num clock: : period::den; cout << "The execution time is : << nseconds; return 0; long long int geom_sum1 (int x, int n) { } long long int geom_sum2 (int x, int n) { }
• Try different n values, and compare the execution times of two functions. Please compare the time complexity of two functions and explain which function is better when n is large and why this function is better, add your answer as comment at the beginning of lab04.cpp. The sample run: $ g++ lab04.cpp -o lab04. $ ./lab04 Please enter x: 3 Please enter n: 10 88573 The execution time is : 4.7292e-05 88573 The execution time is 5.294e-06 $ ./lab04 Please enter x: 3. Please enter n: 100 13969809805403233721 The execution time is 0.000104452 13969809805403233721 The execution time is : 6.633e-06 $ ./lab04 Please enter x: 3 Please enter n: 1000 $ ./lab04 Please enter x: 3 Please enter n: 10000 $ ./lab04 Please enter x: 3 Please enter n: 100000 Lab Exercise The following C++ program lab04.cpp prints the result and execution times of two functions that calculate the geometric series sum using different algorithms. You are supposed to implement two functions to calculate the geometric sum. #include #include #include #include using namespace std; long long int geom_sum1 (int x, int n); long long int geom_sum2 (int x, int n); int main() { int x = 1; } int n = 1; cout << "Please enter x: "; cin >> x; cout << "Please enter n: "; cin >> n; using clock = chrono::steady_clock; clock::time_point start = clock::now(); cout << geom_sum1(x, n) << endl; clock::time_point end = clock::now(); clock: duration time span = end start; double nseconds = double(time_span.count()) * clock::period: : num clock: : period::den; cout << "The execution time is : " << nseconds << endl; start = clock::now(); cout << geom_sum2(x, n) << endl; end = clock::now(); time_span= end - start; nseconds = double(time_span.count()) * clock::period: : num clock: : period::den; cout << "The execution time is : << nseconds; return 0; long long int geom_sum1 (int x, int n) { } long long int geom_sum2 (int x, int n) { }
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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