We must use solution 1 now as they are O(n^2) subarrays that sum up to the given number. Example: an array of only 0s and a given sum of 0.
Solution 1. O(n * logn) runtime, O(n) space 1. make a copy of the given array. 2. sort the copy. 3. find the first and last indices where the given array and its sorted copy don't match . Solution 2. O(n) runtime, O(1) space The core idea of this solution is to firs...
The maximum likelihood estimate under his model required finding a contiguous area with high likelihood. To simplify the problem in the hope of better understanding its structure, he proposed a one-dimensional problem: given a vector of numbers, find the contiguous subvector with the largest sum....
The maximum likelihood estimate under his model required finding a contiguous area with high likelihood. To simplify the problem in the hope of better understanding its structure, he proposed a one-dimensional problem: given a vector of numbers, find the contiguous subvector with the largest sum....
The maximum likelihood estimate under his model required finding a contiguous area with high likelihood. To simplify the problem in the hope of better understanding its structure, he proposed a one-dimensional problem: given a vector of numbers, find the contiguous subvector with the largest sum....