Given the root of a binary tree, return the level order traversal of its nodes’ values. (i.e., from left to right, level by level).
Example 1:
Input: root = [3,9,20,null,null,15,7]
Output: [[3],[9,20],[15,7]]Example 2:
Input: root = [1]
Output: [[1]]
Example 3:Input: root = []
Output: []
Implement BFS Algorithm in Go
Traversing the Binary Tree in Level-by-Level Order is typically solved by implementing a Breadth First Search Algorithm. In Go Programming, we have the following implementation – Time complexity O(N) and space complexity is also O(N).
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 | /** * Definition for a binary tree node. * type TreeNode struct { * Val int * Left *TreeNode * Right *TreeNode * } */ func levelOrder(root *TreeNode) [][]int { if root == nil { return [][]int{} } var q = [](*TreeNode){root} var ans = [][]int{} for len(q) > 0 { var curLevel = []int{} var sz = len(q) for i:=0; i < sz; i++ { var cur = q[i] curLevel = append(curLevel, cur.Val) if cur.Left != nil { q = append(q, cur.Left) } if cur.Right != nil { q = append(q, cur.Right) } } q = q[sz:] ans = append(ans, curLevel) } return ans } |
/** * Definition for a binary tree node. * type TreeNode struct { * Val int * Left *TreeNode * Right *TreeNode * } */ func levelOrder(root *TreeNode) [][]int { if root == nil { return [][]int{} } var q = [](*TreeNode){root} var ans = [][]int{} for len(q) > 0 { var curLevel = []int{} var sz = len(q) for i:=0; i < sz; i++ { var cur = q[i] curLevel = append(curLevel, cur.Val) if cur.Left != nil { q = append(q, cur.Left) } if cur.Right != nil { q = append(q, cur.Right) } } q = q[sz:] ans = append(ans, curLevel) } return ans }
The Go doesn’t have while loop but we can totally use the for for it.
The Go doesn’t have queue – but we can use list/array to achieve the same thing: q[0] for begining of the queue, q=q[1:] for deque. And append() function to enqueue.
See also: Binary Tree Level Order Traversal in C/C++
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