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2 changes: 1 addition & 1 deletion README.md
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@@ -1,6 +1,6 @@
# LeetCode

## 問題:
## 問題: [104. Maximum Depth of Binary Tree](https://leetcode.com/problems/maximum-depth-of-binary-tree/description/)

## 前提

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73 changes: 71 additions & 2 deletions step1.md
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# Step 1

## Recursive DFS

- base case: nodeがNoneのとき0を返す
- recursive step: 左右のうちより深い方に1を足して返す

```python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def maxDepth(self, root: Optional[TreeNode]) -> int:
if root is None:
return 0
return 1 + max(self.maxDepth(root.right), self.maxDepth(root.left))
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個人的には a * x + b のような形を見慣れているので、

return max(self.maxDepth(root.right), self.maxDepth(root.left)) + 1

と書くことが多いです。趣味の範囲だと思います。

```

時間計算量: O(n)

空間計算量: O(n)

## Iterative DFS

```python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def maxDepth(self, root: Optional[TreeNode]) -> int:
stack = [[root, 1]]
max_depth = 0
while stack:
node, depth = stack.pop()
if node:
max_depth = max(max_depth, depth)
stack.append([node.left, depth + 1])
stack.append([node.right, depth + 1])
return max_depth
```
時間計算量:

空間計算量:
時間計算量: O(n)

空間計算量: O(n)

## BFS

```python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def maxDepth(self, root: Optional[TreeNode]) -> int:
queue = deque([[root, 1]])
res = 0
while queue:
node, depth = queue.popleft()
if node:
res = depth
queue.append([node.left, depth + 1])
queue.append([node.right, depth + 1])
return res
```

時間計算量: O(n)

空間計算量: O(n)
17 changes: 17 additions & 0 deletions step2.md
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@@ -1,4 +1,21 @@
# Step 2

```python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def maxDepth(self, root: Optional[TreeNode]) -> int:
queue = deque([[root, 1]])
res = 0
while queue:
node, depth = queue.popleft()
if node:
res = depth
queue.append([node.left, depth + 1])
queue.append([node.right, depth + 1])
return res
```
26 changes: 23 additions & 3 deletions step3.md
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@@ -1,9 +1,29 @@
# Step 3

- dequeを書き慣れていないのでBFSでStep 3を行う

```python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def maxDepth(self, root: Optional[TreeNode]) -> int:
queue = deque([[root, 1]])
res = 0
while queue:
node, depth = queue.popleft()
if node:
res = depth
queue.append([node.left, depth + 1])
queue.append([node.right, depth + 1])
return res
```
1回目: 分 秒

2回目: 分 秒
1回目: 1分 30秒

2回目: 1分 33秒

3回目: 分 秒
3回目: 1分 32秒