### Understanding Quadratic Probing in Hash Tables **Hashing Table Size: 7** Elements to Insert: 12, 5, 19, 2, 23 **Instructions:** Use Quadratic Probing if there is a collision. Provide the answer in the form of the order of inserted elements. **Options:** a) ``` - 19 2 23 12 - 5 ``` b) ``` - 19 2 23 - 12 5 ``` c) ``` 12 - 2 23 - 19 - 5 ``` d) ``` 12 - - 2 23 19 5 ``` ### Quadratic Probing Explained: Quadratic probing is a collision resolution technique in hash tables. It uses a quadratic function rather than linear probing to calculate the index for the next probe. The formula generally looks like this: \[ h(k, i) = (h(k) + c_1 \cdot i + c_2 \cdot i^2) \mod m \] where: - \( h(k) \) is the initial hash function. - \( c_1 \) and \( c_2 \) are constants, often both set to 1. - \( i \) is the collision count. - \( m \) is the size of the hash table. Quadratic probing helps to reduce primary clustering seen in linear probing. ### Detailed Explanation of the Options: - **Option (a)**: - The elements in the hash table would be inserted in the following order: ``` - 19 2 23 12 - 5 ``` - **Option (b)**: - The elements in the hash table would be: ``` - 19 2 23 - 12 5 ``` - **Option (c)**: - The elements in the hash table are arranged as: ``` 12 - 2 23 - 19 - 5 ``` - **Option (d)**: - The elements in the hash table appear in this order: ``` 12 - - 2 23 19 5 ``` These options show the possible arrangements of the elements in the hash table after applying quadratic probing. The given answer choices illustrate different results based on

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### Understanding Quadratic Probing in Hash Tables

**Hashing Table Size: 7**

Elements to Insert: 12, 5, 19, 2, 23

**Instructions:** Use Quadratic Probing if there is a collision. Provide the answer in the form of the order of inserted elements.

**Options:**

a) 
```
   - 19 2 23 12 - 5
```

b)
```
   - 19 2 23 - 12 5
```

c)
```
   12 - 2 23 - 19 - 5
```

d)
```
   12 - - 2 23 19 5
```

### Quadratic Probing Explained:
Quadratic probing is a collision resolution technique in hash tables. It uses a quadratic function rather than linear probing to calculate the index for the next probe. The formula generally looks like this:

\[ h(k, i) = (h(k) + c_1 \cdot i + c_2 \cdot i^2) \mod m \]

where:
- \( h(k) \) is the initial hash function.
- \( c_1 \) and \( c_2 \) are constants, often both set to 1.
- \( i \) is the collision count.
- \( m \) is the size of the hash table.

Quadratic probing helps to reduce primary clustering seen in linear probing.

### Detailed Explanation of the Options:

- **Option (a)**: 
  - The elements in the hash table would be inserted in the following order:
    ```
    - 19 2 23 12 - 5
    ```
  
- **Option (b)**: 
  - The elements in the hash table would be:
    ```
    - 19 2 23 - 12 5
    ```
  
- **Option (c)**: 
  - The elements in the hash table are arranged as:
    ```
    12 - 2 23 - 19 - 5
    ```

- **Option (d)**: 
  - The elements in the hash table appear in this order:
    ```
    12 - - 2 23 19 5
    ```

These options show the possible arrangements of the elements in the hash table after applying quadratic probing. The given answer choices illustrate different results based on
Transcribed Image Text:### Understanding Quadratic Probing in Hash Tables **Hashing Table Size: 7** Elements to Insert: 12, 5, 19, 2, 23 **Instructions:** Use Quadratic Probing if there is a collision. Provide the answer in the form of the order of inserted elements. **Options:** a) ``` - 19 2 23 12 - 5 ``` b) ``` - 19 2 23 - 12 5 ``` c) ``` 12 - 2 23 - 19 - 5 ``` d) ``` 12 - - 2 23 19 5 ``` ### Quadratic Probing Explained: Quadratic probing is a collision resolution technique in hash tables. It uses a quadratic function rather than linear probing to calculate the index for the next probe. The formula generally looks like this: \[ h(k, i) = (h(k) + c_1 \cdot i + c_2 \cdot i^2) \mod m \] where: - \( h(k) \) is the initial hash function. - \( c_1 \) and \( c_2 \) are constants, often both set to 1. - \( i \) is the collision count. - \( m \) is the size of the hash table. Quadratic probing helps to reduce primary clustering seen in linear probing. ### Detailed Explanation of the Options: - **Option (a)**: - The elements in the hash table would be inserted in the following order: ``` - 19 2 23 12 - 5 ``` - **Option (b)**: - The elements in the hash table would be: ``` - 19 2 23 - 12 5 ``` - **Option (c)**: - The elements in the hash table are arranged as: ``` 12 - 2 23 - 19 - 5 ``` - **Option (d)**: - The elements in the hash table appear in this order: ``` 12 - - 2 23 19 5 ``` These options show the possible arrangements of the elements in the hash table after applying quadratic probing. The given answer choices illustrate different results based on
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