Created by##### Jeffrey Autentico

It passes through the array only once.

The sorted elements of the array.

The unsorted elements that need to be inserted into the first sub-array.

It increases in size as the sort continues.

It decreases in size as the sort continues.

The first element in the first sub-array.

The next element in the unsorted second sub-array is placed into its proper position in the first sorted sub-array.

When used with smaller arrays.

It loses efficiency.

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Discover how the insertion sort algorithm organizes data by dividing it into sorted and unsorted sub-arrays, resembling the process of sorting playing cards. Learn its efficiency with smaller arrays and limitations with larger datasets.

1. How does the size of the first sub-array change as the insertion sort algorithm progresses?

A It increases in size. B It fluctuates in size. C It remains constant. D It decreases in size.

2. What happens to the second sub-array in the insertion sort algorithm as sorting continues?

A It increases in size. B It remains constant. C It decreases in size. D It merges with the first sub-array.

3. At the beginning of the insertion sort, what is considered the first element in the first sub-array?

A A randomly chosen element. B The median element of the array. C The last element of the array. D The first element of the array.

4. What is the primary characteristic that differentiates insertion sort from other sorting algorithms?

A It uses multiple arrays for sorting. B It sorts elements in parallel. C It passes through the array only once. D It requires additional memory space.

5. In the context of insertion sort, what does the first sub-array represent?

A The unsorted portion of the array. B The entire array. C The sorted portion of the array. D The elements to be discarded.

6. What is the initial state of the first sub-array in the insertion sort algorithm?

A It contains half of the elements of the array. B It contains only the first element of the array. C It contains all elements of the array. D It is empty.

7. Why does insertion sort lose efficiency with large datasets?

A Because it sorts elements randomly. B Because it has to make many comparisons and shifts. C Because it uses complex mathematical operations. D Because it requires a lot of memory.

8. What is the main advantage of using insertion sort for smaller arrays?

A It requires less memory. B It is very fast and efficient. C It uses fewer comparisons. D It is easier to implement.

9. During each pass through the loop in insertion sort, where is the next element from the unsorted sub-array placed?

A At the beginning of the sorted sub-array. B Into its proper position in the sorted sub-array. C At the end of the sorted sub-array. D In a new sub-array.

10. What happens to the unsorted sub-array as elements are moved to the sorted sub-array in insertion sort?

A It becomes larger. B It splits into multiple sub-arrays. C It becomes smaller. D It remains the same size.

Insertion sort is a straightforward sorting algorithm that organizes an array by processing each element individually and placing it in its correct position within a growing sorted section. This method is particularly intuitive, making it suitable for small or partially sorted datasets.

**Two Sub-arrays**: The algorithm divides the array into a sorted sub-array, which expands as elements are added, and an unsorted sub-array, which shrinks as elements are moved to the sorted section.**Initial Condition**: The first element is initially considered part of the sorted sub-array.

**Element Placement**: During each iteration, the algorithm takes an element from the unsorted portion and inserts it into its appropriate position within the already sorted section. This process continues until all elements have been processed.**Single Pass Requirement**: Insertion sort requires only one pass through the array to complete the sorting.

**Small Array Advantage**: Insertion sort excels with small datasets due to its low complexity and quick execution times. It is often used when data sets are small or nearly sorted.**Performance Decline with Size**: As data size increases, insertion sort's efficiency diminishes compared to more advanced algorithms like quicksort or mergesort.

- Insertion sort maintains two distinct sections within an array—sorted and unsorted—allowing for dynamic growth of the sorted area.
- The algorithm's intuitive nature makes it easy to implement and understand, especially in scenarios involving smaller or partially ordered datasets.
- While effective for limited sizes, insertion sort’s performance can significantly lag behind other sorting methods as dataset sizes increase.

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