当前位置: 面试刷题>> 二叉树的最长连续子序列Ⅰ (经典算法题500道)


### 题目描述补充 题目:**二叉树的最长连续子序列Ⅰ** 给定一棵二叉树,其中每个节点的值都是非负整数。我们需要找到这棵树中所有从根节点到叶子节点的路径中,路径上节点值形成的最长连续递增子序列的长度。请编写一个函数来找出这个最长连续递增子序列的长度。 **注意**: - 路径定义为从树的根节点开始,到任意一个叶子节点结束的路径。 - 叶子节点是没有子节点的节点。 - 如果不存在这样的路径,返回0。 ### 示例 考虑以下二叉树: ``` 1 / \ 2 3 / \ \ 2 3 4 \ 5 ``` 最长连续递增子序列是 `[1, 2, 3, 4]`,所以返回4。 ### PHP 示例代码 ```php val = $val; $this->left = $left; $this->right = $right; } } function findLongestContinuousIncreasingPath($root) { if ($root === null) return 0; return dfs($root, $root->val, 1); } function dfs($node, $prevVal, $currLength) { if ($node === null) return 0; $maxLength = $currLength; if ($node->val > $prevVal) { $maxLength = max($maxLength, dfs($node->left, $node->val, $currLength + 1)); $maxLength = max($maxLength, dfs($node->right, $node->val, $currLength + 1)); } else { $maxLength = max($maxLength, dfs($node->left, $node->val, 1)); $maxLength = max($maxLength, dfs($node->right, $node->val, 1)); } return $maxLength; } // 使用示例 $root = new TreeNode(1); $root->left = new TreeNode(2); $root->right = new TreeNode(3); $root->left->left = new TreeNode(2); $root->left->right = new TreeNode(3); $root->right->right = new TreeNode(4); $root->left->right->right = new TreeNode(5); echo findLongestContinuousIncreasingPath($root); // 输出 4 ?> ``` ### Python 示例代码 ```python class TreeNode: def __init__(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right def findLongestContinuousIncreasingPath(root): if not root: return 0 return dfs(root, root.val, 1) def dfs(node, prev_val, curr_length): if not node: return 0 max_length = curr_length if node.val > prev_val: max_length = max(max_length, dfs(node.left, node.val, curr_length + 1)) max_length = max(max_length, dfs(node.right, node.val, curr_length + 1)) else: max_length = max(max_length, dfs(node.left, node.val, 1)) max_length = max(max_length, dfs(node.right, node.val, 1)) return max_length # 使用示例 root = TreeNode(1) root.left = TreeNode(2) root.right = TreeNode(3) root.left.left = TreeNode(2) root.left.right = TreeNode(3) root.right.right = TreeNode(4) root.left.right.right = TreeNode(5) print(findLongestContinuousIncreasingPath(root)) # 输出 4 ``` ### JavaScript 示例代码 ```javascript function TreeNode(val, left, right) { this.val = (val===undefined ? 0 : val) this.left = (left===undefined ? null : left) this.right = (right===undefined ? null : right) } function findLongestContinuousIncreasingPath(root) { if (!root) return 0; return dfs(root, root.val, 1); } function dfs(node, prevVal, currLength) { if (!node) return 0; let maxLength = currLength; if (node.val > prevVal) { maxLength = Math.max(maxLength, dfs(node.left, node.val, currLength + 1)); maxLength = Math.max(maxLength, dfs(node.right, node.val, currLength + 1)); } else { maxLength = Math.max(maxLength, dfs(node.left, node.val, 1)); maxLength = Math.max(maxLength, dfs(node.right, node.val, 1)); } return maxLength; } // 使用示例 let root = new TreeNode(1); root.left = new TreeNode(2); root.right = new TreeNode(3); root.left.left = new TreeNode(2); root.left.right = new TreeNode(3); root.right.right = new TreeNode(4); root.left.right.right = new TreeNode(5); console.log(findLongestContinuousIncreasingPath(root)); // 输出 4 ``` 码小课网站中有更多关于算法和数据结构的内容分享给大家学习,希望对你有所帮助!