410. Split Array Largest Sum
Given an array nums
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.
Example 1:
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.
Example 2:
Input: nums = [1,2,3,4,5], m = 2
Output: 9
Example 3:
Input: nums = [1,4,4], m = 3
Output: 4
Constraints:
1 <= nums.length <= 1000
0 <= nums[i] <= 106
1 <= m <= min(50, nums.length)
1 <= nums.length <= 1000
0 <= nums[i] <= 106
1 <= m <= min(50, nums.length)
Constraints:
Input: nums = [1,4,4], m = 3
Output: 4
Solution
The question is to find the maximum range sum among m subRanges. And we require to let the sum of each range be as small as possible.
That is the given maximum range sum k; all the range sum shall be small or equal to this sum. Then if we split the original array with k, it must be able to split the array into m subRanges.
Thus, a binary search approach can be applied. Given that if the k is fulfilled requirement, the subRanges number must be equal to m. if the number is less than m, it means the k is too big, if the number is larger than m, then the k is too small.
We can apply binary search to find the smallest one k let the number of sumRange >= m;
public int splitArray(int[] nums, int m) {
int min = 0, max = 0;
for(int num : nums){
min = Math.max(min, num);
max += num;
}
while(max > min){
int mid = min + (max-min)/2;
if(isfeasible(mid, nums, m)){
max = mid;
}
else{
min = mid+1;
}
}
return min;
}
public boolean isfeasible(int threshold, int[] nums, int m){
int count = 1;
int curSum = 0;
for(int num : nums){
curSum += num;
if(curSum > threshold){
count++;
curSum = num;
}
}
return count <= m;
}
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