The time complexity of sorting a list using a comparison-based sorting algorithm with a worst-case time complexity of O(log(n!)) is O(n log n).
The runtime complexity of the mergesort algorithm is O(n log n), where n is the number of elements in the input array.
The runtime complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
The time complexity of a ternary search algorithm is O(log3 n), where n is the number of elements in the array being searched.
The time complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
The time complexity of sorting an array using a comparison-based sorting algorithm with a complexity of n log n is O(n log n).
The runtime complexity of the mergesort algorithm is O(n log n), where n is the number of elements in the input array.
The runtime complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
The time complexity of a ternary search algorithm is O(log3 n), where n is the number of elements in the array being searched.
The time complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
The time complexity of sorting an array using a comparison-based sorting algorithm with a complexity of n log n is O(n log n).
The runtime complexity of the bucket sort algorithm is O(nk), where n is the number of elements to be sorted and k is the number of buckets used.
The time complexity of a binary search algorithm is O(log n), where n is the number of elements in the sorted array being searched.
The time complexity of a greedy algorithm is typically O(n log n) or O(n), where n is the number of elements in the input data.
The time complexity of the Union Find algorithm is typically O(log n) or better, where n is the number of elements in the data structure.
The time complexity of the fastest sorting algorithm is O(n log n), where n represents the number of elements being sorted.
O(N) where N is the number of elements in the array you are searching.So it has linear complexity.
The worst case time complexity of the quick sort algorithm is O(n2), where n is the number of elements in the input array.