代码一:DP
难点在于如何设置dp数组
dp[i][j] 前j个数字分成i组所能得到的最小的各个子数组中最大值
代码二:二分查找变种
class Solution(object):
def splitArray(self, nums, m):
"""
:type nums: List[int]
:type m: int
:rtype: int
"""
#dp[i][j] 前j个数字分成i组所能得到的最小的各个子数组中最大值
n=len(nums)
sums=[0]*(n+1)
dp=[[float('inf')]*(n+1) for _ in range(m+1)]
dp[0][0]=0
for __ in range(1,n+1):
sums[__]=sums[__-1]+nums[__-1]
dp[1][__]=sums[__]
for i in range(2,m+1):
for j in range(1,n+1):
for k in range(i-1,j):#不需要从0开始 因为已经分割了i-1次即如果分割后每个数组只有一个元素的话也有i-1个数组
val=max(dp[i-1][k],sums[j]-sums[k])#开辟出的新的子数组和是sum[j]-sum[k] 与之前的进行比较
dp[i][j]=min(dp[i][j],val)
return dp[m][n]
class Solution:
def splitArray(self, nums, m):
"""
:type nums: List[int]
:type m: int
:rtype: int
"""
left=max(nums)
right=sum(nums)
while left < right:
mid=left+(right-left)//2
if self.canSplit(nums,m,mid):
right = mid
else:
left=mid+1
return left
def canSplit(self,nums,m,sum1):
cnt=1
curSum=0
for i in range(len(nums)):
curSum+=nums[i]
if curSum>sum1:
curSum=nums[i]
cnt+=1
if cnt>m: return False
return True