xmengnet/hello-algo
1
0
Fork 0
mirror of https://github.com/krahets/hello-algo.git synced 2024-12-27 14:06:30 +08:00
Code Issues Projects Releases Packages Wiki Activity Actions

build

Browse source
This commit is contained in:
krahets 2023-04-18 23:09:45 +08:00
parent 61b8ebd8e4
commit 263c979237
1 changed files with 36 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

37
chapter_tree/binary_tree_traversal.md
View file

@ -648,7 +648,42 @@ comments: true
!!! note !!! note
使用循环一样可以实现前、中、后序遍历，但代码相对繁琐，有兴趣的同学可以自行实现。 我们也可以仅基于循环实现前、中、后序遍历，有兴趣的同学可以自行实现。
递归过程可分为“递”和“归”两个相反的部分。“递”表示开启新方法，程序在此过程中访问下一个节点；“归”表示函数返回，代表该节点已经访问完毕。如下图所示，为前序遍历二叉树的递归过程。
=== "<1>"
![preorder_step1](binary_tree_traversal.assets/preorder_step1.png)
=== "<2>"
![preorder_step2](binary_tree_traversal.assets/preorder_step2.png)
=== "<3>"
![preorder_step3](binary_tree_traversal.assets/preorder_step3.png)
=== "<4>"
![preorder_step4](binary_tree_traversal.assets/preorder_step4.png)
=== "<5>"
![preorder_step5](binary_tree_traversal.assets/preorder_step5.png)
=== "<6>"
![preorder_step6](binary_tree_traversal.assets/preorder_step6.png)
=== "<7>"
![preorder_step7](binary_tree_traversal.assets/preorder_step7.png)
=== "<8>"
![preorder_step8](binary_tree_traversal.assets/preorder_step8.png)
=== "<9>"
![preorder_step9](binary_tree_traversal.assets/preorder_step9.png)
=== "<10>"
![preorder_step10](binary_tree_traversal.assets/preorder_step10.png)
=== "<11>"
![preorder_step11](binary_tree_traversal.assets/preorder_step11.png)
### 复杂度分析 ### 复杂度分析