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GeezerVison is showing www.geeksforgeeks.org — C++ Program For Binary Search - GeeksforGeeks C++ Program For Binary SearchLast Updated : 23 Jul, 2025 Binary Search is a popular searching algorithm which is used for finding the position of any given element in a sorted array. It is a type of interval searching algorithm that keep dividing the number of elements to be search into half by considering only the part of the array where there is the probability of finding the target element. In this article, we will learn how to implement binary search algorithm in C++. Binary Search Using Library FunctionC++ STL provides a built-in function std::binary_search() that implements the binary search algorithm for easy and quick search on sorted data. It returns true if the element is found, false otherwise. Its behaviour is undefined if the dataset is unsorted.
Output 8 found. Time Complexity: O(log n), where n is the number of elements. Manually Implement Binary Search in C++To implement binary search manually, we first need to understand how binary search works. How Binary Seach Works?The binary search works by dividing the elements to be search into half in each pass. It is done by comparing the middle element with the target value. If the middle element is equal to the target value, then great, we have found the index of our target element. But if it's not, then we have two cases:
This is done until the target element is found, or the dataset cannot be divided further inferring that element is not present.
Binary Seach is easy to implement using both iteration and recursion. Iterative ImplementationHere we use loop to continue the process of comparing the target element and splitting the search space in two halves.
Output 8 found. Time Complexity: O(log n), where n is the number of elements. Recursive ImplementationWe can also implement the binary search algorithm with recursion instead of loops.
Output 8 NOT found. Time Complexity: O(log n), where n is the number of elements. Comment ExploreStandard Template Library(STL) Practice & Problems |
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