題目鏈接: https://leetcode.com/problems/split-array-largest-sum/description/
Description
Given an array which consists of non-negative integers and an integer m, you can split the array into m non-empty continuous subarrays. Write an algorithm to minimize the largest sum among these m subarrays.
Note:
If n is the length of array, assume the following constraints are satisfied:
- 1 ≤ n ≤ 1000
- 1 ≤ m ≤ min(50, n)
Examples:
Input:
nums = [7,2,5,10,8]
m = 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.
解題思路
動態規劃,用 f[i][j]
表示前 i 個數分成 j 組的子組最大和的最小值。對於把 i 個數分成 j 組,先將前 k (k = 0, 1, …, i - 1) 個數劃分 j - 1 組,最小的最大和爲 f[k][j - 1]
,餘下的 [k + 1, i]
組成第 j 組計算和,兩者之間較大值爲當前分組的最大和,取這 k 種分組中最大和的最小值賦給 f[i][j]
。計算從左上到右下,因此在計算 f[i][j]
時,f[k][j - 1]
已經計算好了,可以直接使用。
最終解爲 f[m][n]
。
Code
class Solution {
public:
int splitArray(vector<int>& nums, int m) {
int n = nums.size();
vector<vector<int>> f(n + 1, vector<int>(m + 1, INT_MAX));
vector<int> sub(n + 1, 0);
for (int i = 0; i < n; i++) {
sub[i + 1] = sub[i] + nums[i];
}
f[0][0] = 0;
for (int i = 1; i <= n; i++) {
for (int j = 1; j <= m; j++) {
for (int k = 0; k < i; k++) {
f[i][j] = min(f[i][j], max(f[k][j - 1], sub[i] - sub[k]));
}
}
}
return f[n][m];
}
};