e and Find the big-O time complexity of each of the foll

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
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please i need e and f

 

Question 1:
Analyze and Find the big-O time complexity of each of the following code fragments:
(0)
while (i <= n) {
(b)
int i = n
while (i > 0) {
}
System.out.println("*");
i = 2* i;
ONLINE ASSIGNMENT -1
for (int j = 0; j<n; j++)
System.out.println("");
i = 1 / 2:
(c)
while (n > 0) {
for (int j = 0; j<n; j++)
System.out.println("");
(d)
for (int i = 0; i<n; i++) // loop 1
for (int j =i+1; j > i j--) // loop 2
for (int k = n k > j; k--) // loop 3
System.out.println("");
(e)
void foo(int n) {
if (n <= 1)
return;
do OhOne (); // doOhOne () runs in 0(1) time
foo (n/2);
foo (n/2);
(f)
void foo(int n) {
if (n <= 1)
return;
do OhN(); // doOhN() runs in O(n) time
foo (n/2);
foo (n/2);
Transcribed Image Text:Question 1: Analyze and Find the big-O time complexity of each of the following code fragments: (0) while (i <= n) { (b) int i = n while (i > 0) { } System.out.println("*"); i = 2* i; ONLINE ASSIGNMENT -1 for (int j = 0; j<n; j++) System.out.println(""); i = 1 / 2: (c) while (n > 0) { for (int j = 0; j<n; j++) System.out.println(""); (d) for (int i = 0; i<n; i++) // loop 1 for (int j =i+1; j > i j--) // loop 2 for (int k = n k > j; k--) // loop 3 System.out.println(""); (e) void foo(int n) { if (n <= 1) return; do OhOne (); // doOhOne () runs in 0(1) time foo (n/2); foo (n/2); (f) void foo(int n) { if (n <= 1) return; do OhN(); // doOhN() runs in O(n) time foo (n/2); foo (n/2);
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