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Binary search is an extremely simple idea that’s useful for much more than finding an element in a sorted array. In the first iteration the center most element is compared with search data. Your data must be sorted according to the given comparator for the binary search to work as intended. Binary search requires a data structure that supports random access. Binary search is an efficient algorithm that searches a sorted list for a desired, or target, element. I also tested to do a manual BINARY SEARCH and start looping from that position until i found a different combination for my key fields, this is a solution i usually used when i didn’t understand how ABAP works, i surprisingly found that it performs slightly better, may be useful if you need to squeeze until the last bit of performance. In other words, binary search requires the ability to look immediately at any item in the data set, given an index number for it. Then it is halved. A binary search works by halving the sorted list. This method is done by starting with the whole array. Binary Search Algorithm. The way binary search works is you compare the item you want to find with the item in the middle of the array, then whichever “side” of the midpoint of the array your element falls on, you compare it to the midpoint of that half until you find the item you want. It's time complexity of O(log n) makes it very fast as compared to other sorting algorithms. Binary Search is a searching algorithm for finding an element's position in a sorted array. The only limitation is that the array or list of elements must be sorted for the binary search algorithm to work on it. Binary Search is a method to find the required element in a sorted array by repeatedly halving the array and searching in the half. Binary Search is applied on the sorted array or list of large size. In this tutorial, you will understand the working of binary search with working code in C, C++, Java, and Python. (If it's not, the behavior is undefined.)

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