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Maybe, you wonder why we are calculating the middle index this way, we can simply add the lower and higher index and divide it by 2.īut if we calculate the middle indexlike this means our code is not 100% correct, it contains bugs. In the case of recursive implementation, O(Logn) recursion call stack space.Īlgorithmic Paradigm: Decrease and Conquer. Īuxiliary Space: O(1) in case of iterative implementation. It falls in case II of the Master Method and the solution of the recurrence is. The above recurrence can be solved either using the Recurrence Tree method or the Master method. The time complexity of Binary Search can be written as: T(n) = T(n/2) + c
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Count number of occurrences (or frequency) in a sorted array.Median of two sorted arrays of different sizes.Divide and Conquer Algorithm | Introduction.Count Inversions in an array | Set 1 (Using Merge Sort).Maximum and minimum of an array using minimum number of comparisons.Why is Binary Search preferred over Ternary Search?.Find square root of number upto given precision using binary search.Write a program to add two numbers in base 14.Program to check if a given number is Lucky (all digits are different).
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