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The time complexity of an algorithm that uses binary search to find an element in a sorted array in logn time is O(log n).

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What is the time complexity of a binary search algorithm?

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.


What is the time complexity of a binary search algorithm in computer science?

The time complexity of a binary search algorithm in computer science is O(log n), where n is the number of elements in the sorted array being searched.


What is the time complexity of an algorithm that utilizes a binary search algorithm to search through a sorted array, where the search time is represented by the function log(n) in terms of the input size n?

The time complexity of an algorithm that uses a binary search on a sorted array is O(log n), where n is the size of the input array.


What is the time complexity for finding an element in a binary search tree?

The time complexity for finding an element in a binary search tree is O(log n), where n is the number of nodes in the tree.


How many comparisons are typically made in a binary search algorithm when searching for a specific element in a sorted array?

In a binary search algorithm, typically log(n) comparisons are made when searching for a specific element in a sorted array, where n is the number of elements in the array.


How many comparisons are typically required in a binary search algorithm to find a specific element in a sorted array?

In a binary search algorithm, typically log(n) comparisons are required to find a specific element in a sorted array, where n is the number of elements in the array.


What is the maximum number of comparisons required in a binary search algorithm to find a specific element in a sorted array?

The maximum number of comparisons required in a binary search algorithm to find a specific element in a sorted array is log(n), where n is the number of elements in the array.


Which search algorithm requires that the arrays contents be sorted?

Binary Search Algorithm


Prove by mathematical induction that the complexity of binary search algorithm is log n?

The complexity of the binary search algorithm is log(n)...If you have n items to search, you iteratively pick the middle item and compare it to the search term. Based on that comparision, you then halve the search space and try again. The number of times that you can halve the search space is the same as log2n. This is why we say that binary search is complexity log(n).We drop the base 2, on the assumption that all methods will have a similar base, and we are really just comparing on the same basis, i.e. apples against apples, so to speak.


Which are the searching algorithm always compare the middle element with the searching elements in the given array?

binary search system


What is the best search algorithm to use for an unsorted array?

The best search algorithm to use for an unsorted array is linear search. It involves checking each element in the array one by one until the desired element is found. This algorithm has a time complexity of O(n), where n is the number of elements in the array.


What is the best search algorithm to use for a sorted array?

The best search algorithm to use for a sorted array is the binary search algorithm.