Which are the correct low and high partitions of the array {10, 20, 80, 40, 90, 70} assuming the middle element as pivot? O {10,20] and [80,40,90,70} {10,20,40) and {80,70,90}

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
icon
Related questions
Question

O(n3) and  {10,20,40) and {80,70,90} are incorrect

### Question:
Which are the correct low and high partitions of the array {10, 20, 80, 40, 90, 70} assuming the middle element as pivot?

### Options:
1. ⭘ {10,20} and {80,40,90,70}
2. ⭘ {10,20,70,40} and {90,80}
3. ⭘ {10,40,20} and {80,90,70}
4. ⭙ {10,20,40} and {80,70,90}

### Answer:
The correct option is:
- {10,20,40} and {80,70,90}

### Explanation:
When partitioning an array using the middle element as a pivot, the elements less than or equal to the pivot are grouped into the "low" partition, and the elements greater than the pivot are grouped into the "high" partition. Here, the middle element in the array {10, 20, 80, 40, 90, 70} is 40.

So, the array is partitioned as follows:
- Low partition: {10, 20, 40}
- High partition: {80, 70, 90}

The correct answer is {10,20,40} and {80,70,90}.
Transcribed Image Text:### Question: Which are the correct low and high partitions of the array {10, 20, 80, 40, 90, 70} assuming the middle element as pivot? ### Options: 1. ⭘ {10,20} and {80,40,90,70} 2. ⭘ {10,20,70,40} and {90,80} 3. ⭘ {10,40,20} and {80,90,70} 4. ⭙ {10,20,40} and {80,70,90} ### Answer: The correct option is: - {10,20,40} and {80,70,90} ### Explanation: When partitioning an array using the middle element as a pivot, the elements less than or equal to the pivot are grouped into the "low" partition, and the elements greater than the pivot are grouped into the "high" partition. Here, the middle element in the array {10, 20, 80, 40, 90, 70} is 40. So, the array is partitioned as follows: - Low partition: {10, 20, 40} - High partition: {80, 70, 90} The correct answer is {10,20,40} and {80,70,90}.
**Question**: What is the worst-case time complexity for the following code fragment?

```cpp
int x = 0;
if (n % 2 == 0) {
    for (int i = 0; i < n * n * n * n; i++) {
        x++;
    }
} else {
    for (int i = 0; i < n * n * n; i++) {
        x++;
    }
}
```

**Options**:
- O(n²)
- O(n³) (selected)
- O(n)
- O(n⁷)
- O(n⁴)

**Explanation**:
The code includes an `if` statement that evaluates whether `n` is even or odd. If `n` is even (`n % 2 == 0`), the code executes a `for` loop that iterates `n * n * n * n` times. If `n` is odd, it executes a `for` loop that iterates `n * n * n` times.

### Detailed Analysis:
- **If `n` is even**: 
    The loop runs from `0` to `n^4`, resulting in `n^4` iterations.
    \[
    T(n) = O(n^4)
    \]

- **If `n` is odd**: 
    The loop runs from `0` to `n^3`, resulting in `n^3` iterations.
    \[
    T(n) = O(n^3)
    \]

Thus, the worst-case time complexity is \(O(n^4)\) since \(O(n^4)\) is larger than \(O(n^3)\).

However, based on the selected option in the image, the correct answer appears to be marked as \(O(n^3)\), which suggests a possible misinterpretation. The correct answer should be \(O(n^4)\), taking into account the `if` branch.

### Graphical Representation:
Unfortunately, no graphical data (like charts or diagrams) are present here to further illustrate the code’s time complexity.

Updated Correct Answer:
- O(n⁴)
Transcribed Image Text:**Question**: What is the worst-case time complexity for the following code fragment? ```cpp int x = 0; if (n % 2 == 0) { for (int i = 0; i < n * n * n * n; i++) { x++; } } else { for (int i = 0; i < n * n * n; i++) { x++; } } ``` **Options**: - O(n²) - O(n³) (selected) - O(n) - O(n⁷) - O(n⁴) **Explanation**: The code includes an `if` statement that evaluates whether `n` is even or odd. If `n` is even (`n % 2 == 0`), the code executes a `for` loop that iterates `n * n * n * n` times. If `n` is odd, it executes a `for` loop that iterates `n * n * n` times. ### Detailed Analysis: - **If `n` is even**: The loop runs from `0` to `n^4`, resulting in `n^4` iterations. \[ T(n) = O(n^4) \] - **If `n` is odd**: The loop runs from `0` to `n^3`, resulting in `n^3` iterations. \[ T(n) = O(n^3) \] Thus, the worst-case time complexity is \(O(n^4)\) since \(O(n^4)\) is larger than \(O(n^3)\). However, based on the selected option in the image, the correct answer appears to be marked as \(O(n^3)\), which suggests a possible misinterpretation. The correct answer should be \(O(n^4)\), taking into account the `if` branch. ### Graphical Representation: Unfortunately, no graphical data (like charts or diagrams) are present here to further illustrate the code’s time complexity. Updated Correct Answer: - O(n⁴)
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Array
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Database System Concepts
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
Starting Out with Python (4th Edition)
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
Digital Fundamentals (11th Edition)
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
C How to Program (8th Edition)
C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON
Database Systems: Design, Implementation, & Manag…
Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning
Programmable Logic Controllers
Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education