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Chapter 8: Problem 6

Why is the bubble sort inefficient for large arrays?

Short Answer

Expert verified
Bubble Sort is considered inefficient for large arrays because it has a quadratic time complexity of O(n^2). This means that the number of required comparisons and swaps increase exponentially as the size of the array increases. Other sorting algorithms, such as Quick Sort and Merge Sort, perform better for large arrays due to their more efficient time complexity of O(n log n).

Step by step solution

01

1. Understanding Bubble Sort Algorithm

The Bubble Sort algorithm works by comparing each element to its adjacent element and swapping them if they are in the wrong order. This process is repeated for every element in the array, starting from the first one to the last one. It continues until no more swaps are needed, indicating that the list is sorted.
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2. Time Complexity of Bubble Sort

The time complexity of Bubble Sort can be analyzed by considering the number of comparisons and swaps made during the sorting process. In the worst-case scenario, Bubble Sort makes (n-1) + (n-2) + (n-3) + ... + 1 comparisons and swaps, where n is the number of elements in the array. This results in a time complexity of O(n^2).
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3. Inefficiency of Bubble Sort for Large Arrays

Bubble Sort becomes inefficient for large arrays due to its quadratic time complexity (O(n^2)). As the size of the array increases, the number of required comparisons and swaps increase exponentially. Other sorting algorithms, such as Quick Sort and Merge Sort, have a time complexity of O(n log n), which makes them significantly more efficient in sorting large arrays.
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4. Conclusion

Bubble Sort is inefficient for large arrays because it has a time complexity of O(n^2), which results in an exponential increase in the number of comparisons and swaps as the array size increases. Other sorting algorithms with better time complexity, like Quick Sort and Merge Sort, are more suitable for sorting large arrays.

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Most popular questions from this chapter

T \(\mathrm{F}\) The average number of comparisons performed by the linear search on an array of \(\mathrm{N}\) elements is \(\mathrm{N} / 2\) (assuming the search values are consistently found).

If an array is sorted in ___________ order, the values are stored from lowest to highest.

T \(F \quad\) If data are sorted in ascending order, it means they are ordered from lowest value to highest value.

What is the maximum number of comparisons that a binary search function will make when searching for a value in a 1,000 -element array?

Why is the selection sort more efficient than the bubble sort on large arrays?
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