Kadane’s Algorithm Using Kotlin
Kadane’s algorithm is a well-known algorithm used for finding the maximum subarray sum in a given array. It is an efficient algorithm that works in O(n) time complexity. In this blog, we will discuss Kadane’s algorithm and how to implement it using the Kotlin programming language.
Kadane’s Algorithm
Kadane’s algorithm is a dynamic programming algorithm that works by iterating over the array and keeping track of the maximum subarray sum seen so far. The algorithm maintains two variables, max_so_far and max_ending_here, where max_so_far is the maximum subarray sum seen so far, and max_ending_here is the maximum subarray sum that ends at the current index.
The algorithm starts by setting both max_so_far and max_ending_here to the first element of the array. It then iterates over the remaining elements of the array, updating max_ending_here by adding the current element to it. If max_ending_here becomes negative, it is reset to zero, as any subarray with a negative sum cannot be the maximum subarray. If max_ending_here is greater than max_so_far, max_so_far is updated with the value of max_ending_here. At the end of the iteration, max_so_far will contain the maximum subarray sum.
