- Difficulty: Hard
- Tags: LeetCode, Hard, Greedy, Array, Binary Search, Dynamic Programming, Prefix Sum, leetcode-410, O(nlogs), O(1)
Problem
Given an integer array nums
and an integer k
, split nums
into k
non-empty subarrays such that the largest sum of any subarray is minimized.
Return the minimized largest sum of the split.
A subarray is a contiguous part of the array.
Example 1:
Input: nums = [7,2,5,10,8], k = 2 Output: 18 Explanation: There are four ways to split nums into two subarrays. The best way is to split it into [7,2,5] and [10,8], where the largest sum among the two subarrays is only 18.
Example 2:
Input: nums = [1,2,3,4,5], k = 2 Output: 9 Explanation: There are four ways to split nums into two subarrays. The best way is to split it into [1,2,3] and [4,5], where the largest sum among the two subarrays is only 9.
Constraints:
1 <= nums.length <= 1000
0 <= nums[i] <= 106
1 <= k <= min(50, nums.length)