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| 1 | +/** |
| 2 | + * Definition for a binary tree node. |
| 3 | + * function TreeNode(val) { |
| 4 | + * this.val = val; |
| 5 | + * this.left = this.right = null; |
| 6 | + * } |
| 7 | + */ |
| 8 | +/** |
| 9 | + * @param {TreeNode} root |
| 10 | + * @return {number[][]} |
| 11 | +*/ |
| 12 | +// 广度优先通过队列处理 【深度优先用栈】 |
| 13 | +// 方法一:BFS通用模版 广度优先:迭代法 时间O(n)、空间O(n) |
| 14 | +var levelOrder = function (root) { |
| 15 | + let result = [], list = [root] |
| 16 | + while (list.length) { |
| 17 | + let len = list.length, level = [], cur |
| 18 | + while (len--) { |
| 19 | + cur = list.shift() |
| 20 | + if (cur !== null) { |
| 21 | + level.push(cur.val) |
| 22 | + cur.left !== null && list.push(cur.left) |
| 23 | + cur.right !== null && list.push(cur.right) |
| 24 | + } |
| 25 | + } |
| 26 | + level.length && result.push(level) |
| 27 | + } |
| 28 | + return result |
| 29 | +} |
| 30 | + |
| 31 | +// 方法二 标记法,偏技巧 |
| 32 | +var levelOrder = function (root) { |
| 33 | + if (!root) return [] |
| 34 | + let result = [], level = [], list = [root, null] |
| 35 | + while (list.length > 0) { |
| 36 | + const cur = list.shift() |
| 37 | + if (cur) { |
| 38 | + level.push(cur.val) |
| 39 | + cur.left && list.push(cur.left) |
| 40 | + cur.right && list.push(cur.right) |
| 41 | + } else { // 一层已经遍历完了 |
| 42 | + result.push(level) |
| 43 | + level = [] |
| 44 | + list.length > 0 && list.push(null) |
| 45 | + } |
| 46 | + } |
| 47 | + return result |
| 48 | +} |
| 49 | + |
| 50 | +// 方法三 递归 时间O(n),空间O(h) h为树高度 |
| 51 | +var levelOrder = function (root) { |
| 52 | + if (!root) return [] |
| 53 | + let result = [] |
| 54 | + function dfs(cur, level) { |
| 55 | + if (cur != null) { |
| 56 | + !result[level] && (result[level] = []) |
| 57 | + result[level].push(cur.val) |
| 58 | + cur.left && dfs(cur.left, level + 1) |
| 59 | + cur.right && dfs(cur.right, level + 1) |
| 60 | + } |
| 61 | + } |
| 62 | + dfs(root, 0) |
| 63 | + return result |
| 64 | +} |
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