Which represents a tight upper bound on the runtime of the following code using Big-O notation: sum - 0; for (int i - 0; i < n/2; i += 3) { for (int j - 1; j < n; j *= 3) { } O(logn) O(nlogn) O(n) O(1) O(n2)
Which represents a tight upper bound on the runtime of the following code using Big-O notation: sum - 0; for (int i - 0; i < n/2; i += 3) { for (int j - 1; j < n; j *= 3) { } O(logn) O(nlogn) O(n) O(1) O(n2)
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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Transcribed Image Text:Which represents a tight upper bound on the runtime of the following code using Big-O notation:
sum = 0;
for (int i = 0; i < n/2; i += 3) {
for (int j = 1; j < n; j *=
3) {
}
}
O(logn)
O(nlogn)
O(n)
O 0(1)
O O(n?)
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