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the below Big-O complexities, which of the four would be preferred? 1. O(n log(n)) 2. O(n²) 3. O(log(n)) 4. O(n) B. Which is the Big-O complexity for the following code? for(int i = 0; i < n; ++i) cout << i << endl; for(int j = 0; j

the below Big-O complexities, which of the four would be preferred? 1. O(n log(n)) 2. O(n²) 3. O(log(n)) 4. O(n) B. Which is the Big-O complexity for the following code? for(int i = 0; i < n; ++i) cout << i << endl; for(int j = 0; j

Database System Concepts
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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Question 1: Answer the given question A. Given the choice of four algorithms that perform the same operation with the below Big-O complexities, which of the four would be preferred? 1. O(n log(n)) 2. O(n²) 3. O(log(n)) 4. O(n) B. Which is the Big-O complexity for the following code? for(int i = 0; i<n; ++i) cout << i << endl; for(int j = 0; j<n; ++j) cout << j << endl; 1. O(i + j) 2. O(n) 3. O(i * j) 4. O(n²) C. Which of the following T(n) functions defines the best case for the following code? for(int i = 0; i<n; ++i) if(i % 2 == 1) odds++; Hint: rewrite to a while loop if needed. 1. T(n) = 4n+ 2 2. T(n) = 3n + 1 3. T(n) = 4n+ 1
Transcribed Image Text:Question 1: Answer the given question A. Given the choice of four algorithms that perform the same operation with the below Big-O complexities, which of the four would be preferred? 1. O(n log(n)) 2. O(n²) 3. O(log(n)) 4. O(n) B. Which is the Big-O complexity for the following code? for(int i = 0; i<n; ++i) cout << i << endl; for(int j = 0; j<n; ++j) cout << j << endl; 1. O(i + j) 2. O(n) 3. O(i * j) 4. O(n²) C. Which of the following T(n) functions defines the best case for the following code? for(int i = 0; i<n; ++i) if(i % 2 == 1) odds++; Hint: rewrite to a while loop if needed. 1. T(n) = 4n+ 2 2. T(n) = 3n + 1 3. T(n) = 4n+ 1
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