n log n - G.Parthiban, SRM
Binary Search Algorithm
The best search algorithm to use for a sorted array is the binary search algorithm.
The running time of the 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 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 binary search algorithm in computer science is O(log n), where n is the number of elements in the sorted array being searched.
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.
By using Depth First Search or Breadth First search Tree traversal algorithm we can print data in Binary search tree.
The binary search algorithm works by successively halving the array and determining which half the result lies in, or if the half-way point is the result. In order for that to work, the array must be in order, otherwise choosing the half-way point would be meaningless because it would not tell you which half of the array the result is located in.
i want to know how to give the algorithm password in a computer ?
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).
One can perform a binary search easily in many different ways. One can perform a binary search by using an algorithm specifically designed to test the input key value with the value of the middle element.
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.