Python Program – Find the node with minimum value in a Binary Search Tree – Just traverse the node from root to left recursively until left is NULL.
binary search algorithm
C Program Count 1’s in a sorted binary array – Searching and Sorting – A simple solution is to linearly traverse the array. The time complexity of the simple solution is O(n). We can use Binary Search to find count in O(Logn) time.
Binary Insertion Sort – Searching and Sorting – We can use binary search to reduce the number of comparisons in normal insertion sort. Binary Insertion Sort find use binary search to find the proper location to insert the selected item at each iteration.
A Problem in Many Binary Search Implementations – Searching and Sorting – The above looks fine except one subtle thing, the expression “m = (l+r)/2”. It fails for large values of l and r. Specifically, it fails if the sum of low and high is greater than the maximum positive int value (231– 1).
Interpolation search vs Binary search – Searching and Sorting – On average the interpolation search makes about log(log(n)) comparisons(if the elements are uniformly distributed), where n is the number of elements to be searched.
Interpolation Search – searching and sorting algorithm- The Interpolation Search is an improvement over Binary Search for instances, where the values .
TERNARY SEARCH – searching and sorting algorithm – The ternary search does less number of comparisons as it makes Log3n recursive calls, but binary search.
Jump Search – search and sorting algorithm – Jump Search is a searching algorithm for sorted arrays.Basic idea is to check fewer elements.
Binary Search – search and sorting – Search a sorted array by dividing the search interval in half. Begin with an interval covering the whole array.