When I finished reading this problem,I thought I could solve it by scanning every single subarray in the array,and the time complexity is cubic.Every subarray could be the eventual one whose sum is the largest,so I did make a conclusion that the best time complexity is quadratic,and the o...
In computer science, the maximum sum subarray problem is the task of finding a contiguous subarray with the largest sum, within a given one-dimensional array A[1...n] of numbers. Formally, the task is to find indices and with, such that the sum is as large as possible. Example: Input...
1567-maximum-number-of-vowels-in-a-substring-of-given-length 1586-longest-subarray-of-1s-after-deleting-one-element 1604-least-number-of-unique-integers-after-k-removals 1605-minimum-number-of-days-to-make-m-bouquets 1615-range-sum-of-sorted-subarray-sums 1616-minimum-difference-b...
contiguous_array.py continuous_subarr_sum.c continuous_subarr_sum.py continuous_subarray.c continuous_subarray.py convert_1d_2d_arr.c convert_1d_2d_arr.py convert_arr_2d_cond.c convert_arr_2d_cond.py convert_sorted_bst.c copy_list_rand_ptr.c copy_list_rand_ptr.py cost_hire_k_worker....
Largest Sum Contiguous Subarray reference: http://www.geeksforgeeks.org/dynamic-programming-set-27-max-sum-rectangle-in-a-2d-matrix/ 最近越来越觉得面试都是套路。动不动就上这种大牛花好几年做出来的算法让人面试解。太恶心。