PayneのWebSite

Every day

0%

秒懂二叉树遍历

发表于 更新于 分类于 ， Valine：
本文字数： 418 阅读时长 ≈ 1 分钟

Brush the topic-BinaryTree

大家好，这是Brush the topic的第一章节,BinaryTree。首先我说一下为什么把这个放在刷题的第一节呢？

原因如下:

  • 培养、训练自己的计算机的思维。
  • 锻炼模版化，抽象化思维

下面让我们一起去完成一个壮举，那就是完全解决二叉树的遍历问题，以及相关问题。are you ok？

二叉树的遍历

由于对于二叉树的遍历顺序不同，构造出三种不同的遍历方式

  • 前序遍历-根左右
  • 中序遍历-左根右
  • 后序遍历-左右根

递归代码模版如下

Python

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
# 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

# 前序遍历
def preOreder(self, root):
    if root:
        self.traverse_path.append(root.val)
        preOreder(self.left)
        preOreder(self.right)


# 中序遍历
def inOreder(self, root):
    if root:
        preOreder(self.left)
        self.traverse_path.append(root.val)
        preOreder(self.right)


# 后序遍历
def postOreder(self, root):
    if root:
        preOreder(self.left)
        preOreder(self.right)
        self.traverse_path.append(root.val)

Go

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
// 前序遍历
func preOreder(root *TreeNode) {
  result := []int{}
  if root == nil {return}
  result  = append(result, root.value)
  preOreder(root.Left)
  preOreder(root.Right)
}

// 中序遍历
func inOreder(root *TreeNode) {
  result := []int{}
  if root == nil {return}
  preOreder(root.Left)
  result  = append(result, root.value)
  preOreder(root.Right)
}

    
// 后序遍历
func postOreder(root *TreeNode) {
  result := []int{}
  if root == nil {return}
  postOreder(root.Left)
  postOreder(root.Right)
  result  = append(result, root.value)
}

practice

基于此我们可以拿下以下题目,完全二叉树递归模版解题

144. 二叉树的前序遍历-Python

Recursive

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
# 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

# Recursive-1 
class Solution:
    def preorderTraversal(self, root: TreeNode) -> List[int]:
        result = []
        self.helper(root, result)
        return result

    def helper(self, root, result):
        if root is None: return
        result.append(root.val)
        self.helper(root.left, result)
        self.helper(root.right, result)


# Recursive-2 Another way Anonymous function
class Solution:
    def preorderTraversal(self, root: TreeNode) -> List[int]:
        def helper(root: TreeNode):
            if not root: return
            res.append(root.val)
            helper(root.left)
            helper(root.right)

        res = list()
        helper(root)
        return res


# Recursive-3 more clean code
class Solution:
    def preorderTraversal(self, root: TreeNode) -> List[int]:
        if not root: return []
        res = []
        res.append(root.val)
        res += self.preorderTraversal(root.left)
        res += self.preorderTraversal(root.right)
        return res

Iterative

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
# 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

# Solution-1
class Solution1:
    def preorderTraversal(self, root: TreeNode) -> List[int]:
        stack, result = [], []
        while stack or root:
            while root:
                # 前序遍历-根左右，先拿根
                result.append(root.val)
                # 压栈
                stack.append(root)
                # 拿完根之后拿左儿子
                root = root.left
            # 左儿子拿出来，拿右儿子
            node = stack.pop()
            root = node.right
        # # 完成
        return result


# Solution-2 简化Solution-1
class Solution2:
    def preorderTraversal(self, root: TreeNode) -> List[int]:
        stack, result = [], []
        while stack or root:
            if root:
                result.append(root.val)
                stack.append(root)
                root = root.left
            else:
                node = stack.pop()
                root = node.right
        return result


# Solution-3
class Solution3:
    def preorderTraversal(self, root: TreeNode) -> List[int]:
        stack, result = [root], []
        while stack:
            # 拿出根
            node = stack.pop()
            if node:
                # 前序遍历拿出，先拿根的值                
                result.append(node.val)
                # 模仿栈，先入后出。后拿右孩子
                stack.append(node.right)
                stack.append(node.left)
        return result

94. 二叉树的中序遍历-Python

Recursive

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
# 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

# Recursive-1 
class Solution:
    def inorderTraversal(self, root: TreeNode) -> List[int]:
        result = []
        self.helper(root, result)
        return result

    def helper(self, root, result):
        if root is None: return
        self.helper(root.left, result)
        result.append(root.val)
        self.helper(root.right, result)


# Recursive-2 Another way Anonymous function
class Solution:
    def inorderTraversal(self, root: TreeNode) -> List[int]:
        def helper(root: TreeNode):
            if not root: return
            helper(root.left)
            res.append(root.val)
            helper(root.right)

        res = list()
        helper(root)
        return res


# Recursive-3 more clean code
class Solution:
    def inorderTraversal(self, root: TreeNode) -> List[int]:
        if not root: return []
        res = []
        res += self.preorderTraversal(root.left)
        res.append(root.val)
        res += self.preorderTraversal(root.right)
        return res

Iterative

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
# 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

# Solution - 1
class Solution:
    def inorderTraversal(self, root: TreeNode) -> List[int]:
        if not root: return
        stack, result = [], []
        while stack or root:
            while root:
                stack.append(root)
                root = root.left
            node = stack.pop()
            result.append(node.val)
            root = node.right
        return result


# Solution - 2 简化Solution-1
class Solution:
    def inorderTraversal(self, root: TreeNode) -> List[int]:
        stack, result = [], []
        while stack or root:
            if root:
                stack.append(root)
                root = root.left
            else:
                node = stack.pop()
                result.append(node.val)
                root = node.right
        return result


# Solution - 3
class Solution2:
    def inorderTraversal(self, root: TreeNode) -> List[int]:
        stack, result = [], []
        while stack or root:
            if root:
                stack.append(root)
                root = root.left
            else:
                node = stack.pop()
                result.append(node.val)
                root = node.right
        return result

145. 二叉树的后序遍历

Recursive

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
# 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

# Recursive-1 
class Solution:
    def postorderTraversal(self, root: TreeNode) -> List[int]:
        result = []
        self.helper(root, result)
        return result

    def helper(self, root, result):
        if root is None: return
        self.helper(root.left, result)
        self.helper(root.right, result)
        result.append(root.val)


# Recursive-2 Another way Anonymous function
class Solution:
    def postorderTraversal(self, root: TreeNode) -> List[int]:
        def helper(root: TreeNode):
            if not root: return
            helper(root.left)
            helper(root.right)
            res.append(root.val)

        res = list()
        helper(root)
        return res


# Recursive-3 more clean code
class Solution:
    def postorderTraversal(self, root: TreeNode) -> List[int]:
        if not root: return []
        res = []
        res += self.preorderTraversal(root.left)
        res += self.preorderTraversal(root.right)
        res.append(root.val)
        return res

Iterative

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
# Solution - 1
class Solution:
    def postorderTraversal(self, root: TreeNode) -> List[int]:
        stack, result = [], []
        while root or stack:
            while root:
                result.append(root.val)
                stack.append(root)
                root = root.right
            node = stack.pop()
            root = node.left
        return result[::-1]


# Solution - 2    
class Solution:
    def postorderTraversal(self, root: TreeNode) -> List[int]:
        stack, result = [], []
        while stack or root:
            if root:
                result.append(root.val)
                stack.append(root)
                root = root.right
            else:
                node = stack.pop()
                root = node.left
        return result[::-1]


# Solution - 3
class Solution:
    def postorderTraversal(self, root: TreeNode) -> List[int]:
        if not root: return
        stack, result = [root], []
        while stack:
            node = stack.pop()
            if node:
                result.append(node.val)
                stack.append(node.left)
                stack.append(node.right)
        return result[::-1]

二叉树迭代遍历模版-Python

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
# 前序遍历
# Solution-1
class Solution1:
    def preorderTraversal(self, root: TreeNode) -> List[int]:
        if not root: return
        stack, result = [], []
        while root or stack:
            while root:
                result.append(root.val)
                stack.append(root)
                root = root.left
            tmp = stack.pop()
            root = tmp.right
        return result


# 中序遍历
class Solution:
    def inorderTraversal(self, root: TreeNode) -> List[int]:
        if not root: return
        stack, result = [], []
        while stack or root:
            while root:
                stack.append(root)
                root = root.left
            node = stack.pop()
            result.append(node.val)
            root = node.right
        return result

由递归到迭代，基本的思想就是由递归中由系统维护的栈，转为手动维护。