算法思路:
递归分前半和后半排序然后合并。
应用:
- 排序
- 求逆序数
注意事项:
- merge函数中更改输入nums。
- line 15的等号决定是否stable sort。
Python代码:
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27def merge_sort(self, nums: List[int]):
self.m_sort(nums, 0, len(nums) - 1)
def m_sort(self, nums: List[int], start: int, end: int):
if start >= end:
return
mid = start + (end - start) // 2
self.m_sort(nums, start, mid)
self.m_sort(nums, mid + 1, end)
self.merge(nums, start, mid, end)
def merge(self, nums: List[int], start: int, mid: int, end: int):
i, j, res = start, mid + 1, []
while i <= mid and j <= end: # = decides if it is stable sort
if nums[i] <= nums[j]:
res.append(nums[i])
i += 1
else:
res.append(nums[j])
j += 1
while i <= mid:
res.append(nums[i])
i += 1
while j <= end:
res.append(nums[j])
j += 1
nums[start:end + 1] = res
算法分析:
时间复杂度为O(nlogn),空间复杂度O(n)。


