Problem
Analysis Process
1.Recursive
use DFS
We can first traversal the binary tree in order (around the root), at the same time, record the level of the node, and define an array for each level, and then put the value of the accessed node into the array of the corresponding level
2.BFS
we can use the data structure of Queue and we can initialize the root node to Queue and do the BFS by consuming the tail and inserting the head
Code
1.Recursive
/**
* Definition for a binary tree node.
* type TreeNode struct {
* Val int
* Left *TreeNode
* Right *TreeNode
* }
*/
func levelOrder(root *TreeNode) [][]int {
return dfs(root, 0, [][]int{})
}
func dfs(root *TreeNode, level int, res [][]int) [][]int {
if root == nil {
return res
}
if len(res) == level {
res = append(res, []int{root.Val})
} else {
res[level] = append(res[level], root.Val)
}
res = dfs(root.Left, level+1, res)
res = dfs(root.Right, level+1, res)
return res
}
2.BFS
/**
* Definition for a binary tree node.
* type TreeNode struct {
* Val int
* Left *TreeNode
* Right *TreeNode
* }
*/
func levelOrder(root *TreeNode) [][]int {
var result [][]int
if root == nil {
return result
}
//Define a two-way queue
queue := list.New()
// The header inserts the root node
queue.PushFront(root)
// BFS
for queue.Len() > 0 {
var current []int
listLength := queue.Len()
for i := 0; i < listLength; i++ {
// Consumption of the tail
// queue.Remove(queue.Back()).(*TreeNode):Remove the last element and convert it to the TreeNode type
node := queue.Remove(queue.Back()).(*TreeNode)
current = append(current, node.Val)
if node.Left != nil {
//Insert the head
queue.PushFront(node.Left)
}
if node.Right != nil {
queue.PushFront(node.Right)
}
}
result = append(result, current)
}
return result
}