) Attention reader! {\textstyle n} 2 For searching continuous function values, see, Search algorithm finding the position of a target value within a sorted array, Visualization of the binary search algorithm where 7 is the target value, Procedure for finding the leftmost element, Procedure for finding the rightmost element, Any search algorithm based solely on comparisons can be represented using a binary comparison tree. + k A n based on the equation for the average case. An. ( ≤ , then the average number of iterations for a successful search L 4 . ) ) L , ⌋ {\displaystyle n} {\displaystyle R} k A [7], This iterative procedure keeps track of the search boundaries with the two variables ⌊ − This is the case for other search algorithms based on comparisons, as while they may work faster on some target values, the average performance over all elements is worse than binary search. n 1 n [a][6] Binary search is faster than linear search except for small arrays. time, where ⌊ Here, n is the number of elements in the sorted linear array. ( The standard binary search algorithm is simply the case where the graph is a path. In particular, fractional cascading speeds up binary searches for the same value in multiple arrays. ⌊ {\displaystyle I(n)} + O (1) means it requires constant time to perform operations like to reach an element in constant time as in case of dictionary and O (n) means, it depends on the value of n to perform operations such as searching an element in an array of n elements. O(1) means it requires constant time to perform operations like to reach an element in constant time as in case of dictionary and O(n) means, it depends on the value of n to perform operations such as searching an element in an array of n elements. [b] Otherwise, the search algorithm can eliminate few elements in an iteration, increasing the number of iterations required in the average and worst case. An external path is a path from the root to an external node. ⌊ Let say the iteration in Binary Search terminates after, At each iteration, the array is divided by half. Binary Search Algorithm Binary Search is applied on the sorted array or list of large size. log If the rank of the target value is. time. ⌋ iterations of the comparison loop, where the and = log [g][h][39], There exist data structures that may improve on binary search in some cases for both searching and other operations available for sorted arrays. is the position of the target value. {\displaystyle [1,2,4,4,4,5,6,7]} ( ) ( ( 2 {\textstyle n} n n ≤ {\displaystyle T} 2 is the binary entropy function and ) log + is the leftmost element that equals ⌋ The worst case may also be reached when the target element is not in the array. ( The only limitation is that the array or list of elements must be sorted for the binary search algorithm to work on it.

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