想好函数的参数,停止条件,和每一轮的操作有哪些,就可以写递归法。比较简单啦
def inorderTraversal(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
def digui(cur, res):
if cur is None:
return
digui(cur.left, res)
res.append(cur.val)
digui(cur.right, res)
return res
res = []
return digui(root, res)
class Solution(object):
def postorderTraversal(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
if not root:
return None
queue = []
res = []
queue.append(root)
while queue:
rot = queue.pop()
res.append(rot.val)
if rot.left:
queue.append(rot.left)
if rot.right:
queue.append(rot.right)
return res[::-1]
class Solution(object):
def preorderTraversal(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
zhan = []
res = []
if root is None:
return zhan
zhan.append(root)
while zhan:
tmp = zhan.pop()
res.append(tmp.val)
if tmp.right:
zhan.append(tmp.right)
if tmp.left:
zhan.append(tmp.left)
return res
1) 用一个栈(list表示即可)来存放遍历过的节点,一个res数组存放结果,一个cur指针用来遍历二叉树。
2) 和前后序遍历的区别是,这个不能在初始时将头节点压入栈,因为第一个应该是左而非中。(要求遍历的顺序和访问的顺序不同)
class Solution(object):
def inorderTraversal(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
cur = root
res = []
st = []
#如果是空节点,那么从栈里弹出元素,然后走向它的右节点
#如果不是空节点,那么放入栈中,然后向左移动
while st or cur:
if cur != None:
st.append(cur)
cur = cur.left
else:
cur = st.pop()
res.append(cur.val)
cur = cur.right
return res
class Solution {
public:
vector<int> postorderTraversal(TreeNode* root) {
vector<int> result;
stack<TreeNode*> st;
if (root != NULL) st.push(root);
while (!st.empty()) {
TreeNode* node = st.top();
if (node != NULL) {
st.pop();
st.push(node); // 中
st.push(NULL);
if (node->right) st.push(node->right); // 右
if (node->left) st.push(node->left); // 左
} else {
st.pop();
node = st.top();
st.pop();
result.push_back(node->val);
}
}
return result;
}
};