the followings find the "best" big-O notation to describe the complexity of the algorithm. Choose your answers from the following: 1, log2 n, n, n log₂ n, n², n³,..., 2n, n!. 1. A binary search of n elements which are already in increasing order. 2. A linear search to find a number x in a list of n numbers. 3. An iterative algorithm to compute n!, (counting the number of multipli- cations) 4. An algorithm that prints all bit (binary digit) strings of length n. 5. A bubble sort algorithm to sort n numbers.

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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une followings find the "best" big-O notation to describe the complexity of
the algorithm. Choose your answers from the following:
1, log2 n, n, n log2 n, n², n³,... ., 2n, n!.
1. A binary search of n elements which are already in increasing order.
2. A linear search to find a number x in a list of n numbers.
3. An iterative algorithm to compute n!, (counting the number of multipli-
cations)
4. An algorithm that prints all bit (binary digit) strings of length n.
5. A bubble sort algorithm to sort n numbers.
Transcribed Image Text:1 of 2 une followings find the "best" big-O notation to describe the complexity of the algorithm. Choose your answers from the following: 1, log2 n, n, n log2 n, n², n³,... ., 2n, n!. 1. A binary search of n elements which are already in increasing order. 2. A linear search to find a number x in a list of n numbers. 3. An iterative algorithm to compute n!, (counting the number of multipli- cations) 4. An algorithm that prints all bit (binary digit) strings of length n. 5. A bubble sort algorithm to sort n numbers.
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