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package leetcode_301To600;
/**
* 本代码来自 Cspiration,由 @Cspiration 提供
* 题目来源:http://leetcode.com
* - Cspiration 致力于在 CS 领域内帮助中国人找到工作,让更多海外国人受益
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* - 节省刷题时间,效率提高2-3倍,初学者轻松一天10题,入门者轻松一天20题
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* - 版权所有,转发请注明出处
*/
public class _410_SplitArrayLargestSum {
/**
* 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.
time : O(nlogn) 级别 sum - max
space : O(1)
* @param nums
* @param m
* @return
*/
public int splitArray(int[] nums, int m) {
int max = 0;
long sum = 0;
for (int num : nums) {
max = Math.max(num, max);
sum += num;
}
if (m == 1) {
return (int)sum;
}
long left = max;
long right = sum;
while (left <= right) {
long mid = (left + right) / 2;
if (valid(mid, nums, m)) {
right = mid - 1;
} else {
left = mid + 1;
}
}
return (int)left;
}
public boolean valid(long target, int[] nums, int m) {
int count = 1;
long total = 0;
for (int num : nums) {
total += num;
if (total > target) {
total = num;
count++;
if (count > m) {
return false;
}
}
}
return true;
}
}
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