1. The big-O complexity of a nested array is 2. The best-case complexity of binary search is a. 0 (n²) b. 0 (log n) c. O(n) d. 0 (1) 3. The polynomial big-O complexity is mathematically represented by 4. The worst-case complexity of linear search is 5. In changing money, greedy choice is not always optimal. True / False 6. To estimate the time when a professor enters the classroom can be done using the order notation 7. The limiting behavior of a function when the argument tends towards infinity is called 8. The problem with recursive change algorithm is that

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
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need all part plz

1. The big-O complexity of a nested array is
2. The best-case complexity of binary search is
a. O(n²)
b. 0 (log n)
c. O(n)
d. 0 (1)
3. The polynomial big-O complexity is mathematically represented by
4.
The worst-case complexity of linear search is
5.
In changing money, greedy choice is not always optimal.
True False
6.
To estimate the time when a professor enters the classroom can be done using the order notation
7. The limiting behavior of a function when the argument tends towards infinity is called
8. The problem with recursive change algorithm is that
Transcribed Image Text:1. The big-O complexity of a nested array is 2. The best-case complexity of binary search is a. O(n²) b. 0 (log n) c. O(n) d. 0 (1) 3. The polynomial big-O complexity is mathematically represented by 4. The worst-case complexity of linear search is 5. In changing money, greedy choice is not always optimal. True False 6. To estimate the time when a professor enters the classroom can be done using the order notation 7. The limiting behavior of a function when the argument tends towards infinity is called 8. The problem with recursive change algorithm is that
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