Match appropriate worst case time complexities Selection sort Merge sort Quick sort Binary search [Choose ] [Choose ] [Choose ] ✓ [Choose ] O(logN) O(NlogN) ΟΙΝΛΟΙ
Match appropriate worst case time complexities Selection sort Merge sort Quick sort Binary search [Choose ] [Choose ] [Choose ] ✓ [Choose ] O(logN) O(NlogN) ΟΙΝΛΟΙ
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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Question
![**Exercise: Match Appropriate Worst Case Time Complexities**
Below are various algorithms. Your task is to match each algorithm with its correct worst-case time complexity. Use the dropdowns to select the correct option for each.
1. **Selection Sort**
- [ Choose ]
2. **Merge Sort**
- [ Choose ]
3. **Quick Sort**
- [ Choose ]
4. **Binary Search**
- [ Choose ]
Options:
- O(logN)
- O(NlogN)
- O(N^2)
**Instructions:**
- Selection Sort typically has a worst-case time complexity of O(N^2).
- Merge Sort's worst-case time complexity is O(NlogN).
- Quick Sort, in the worst case, can take O(N^2) time, though its average case is O(NlogN).
- Binary Search has a worst-case time complexity of O(logN).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F86b14285-d986-492a-886d-db2235fe87ed%2Fecaf7b85-05b4-4909-bfe7-658193cd7f98%2F6j24h63_processed.png&w=3840&q=75)
Transcribed Image Text:**Exercise: Match Appropriate Worst Case Time Complexities**
Below are various algorithms. Your task is to match each algorithm with its correct worst-case time complexity. Use the dropdowns to select the correct option for each.
1. **Selection Sort**
- [ Choose ]
2. **Merge Sort**
- [ Choose ]
3. **Quick Sort**
- [ Choose ]
4. **Binary Search**
- [ Choose ]
Options:
- O(logN)
- O(NlogN)
- O(N^2)
**Instructions:**
- Selection Sort typically has a worst-case time complexity of O(N^2).
- Merge Sort's worst-case time complexity is O(NlogN).
- Quick Sort, in the worst case, can take O(N^2) time, though its average case is O(NlogN).
- Binary Search has a worst-case time complexity of O(logN).
Expert Solution

Step 1: Introduce worst-case time complexity:
Worst-case time complexity is a measure of an algorithm's maximum running time under the least favorable conditions. It represents the upper bound on the number of basic operations an algorithm could perform when given a specific input. It is a crucial metric for understanding an algorithm's performance in the worst possible scenario.
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