Sorting Algorithms
Sorting algorithms are used to rearrange the elements of an array in a specific order. In C++, many sorting algorithms are available, each with its advantages and disadvantages.
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Sorting algorithms are used to rearrange the elements of an array in a specific order. In C++, many sorting algorithms are available, each with its advantages and disadvantages.
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Some of the most common sorting algorithms in C++ include:
Bubble sort: This simple sorting algorithm works by repeatedly comparing adjacent elements in an array and swapping them if they are in the wrong order. Bubble sort is not very efficient, but it is easy to implement.
Selection sort: This sorting algorithm works by repeatedly finding the smallest element in an array and swapping it with the first element. Selection sort is more efficient than bubble sort, but it is still not very efficient for large arrays.
Insertion sort: This sorting algorithm works by repeatedly inserting elements into their correct position in an array. Insertion sort is more efficient than bubble sort and selection sort, but it is still not very efficient for large arrays.
Merge sort: This sorting algorithm works by recursively splitting an array in half and merging the two halves back together in sorted order. Merge sort is very efficient for large arrays, but it is more complex to implement than the other sorting algorithms mentioned above.
Quick sort: This sorting algorithm works by choosing a pivot element in an array and partitioning the array around the pivot element. Quick sort is very efficient for large arrays, and it is also relatively easy to implement.
The best sorting algorithm to use in a particular situation depends on the size of the array and the desired level of efficiency. For small arrays, bubble sort or selection sort may be sufficient. For large arrays, merge sort or quick sort may be a better choice.
Here is a table that summarizes the time complexity of the sorting algorithms mentioned above:
O(n)
O(n^2)
O(n^2)
O(n^2)
O(n^2)
O(n^2)
O(n)
O(n^2)
O(n^2)
O(n log n)
O(n log n)
O(n log n)
O(n log n)
O(n^2)
O(n log n)
