[LeetCode] 105. Construct Binary Tree from Preorder and Inorder Traversal 由先序和中序遍历建立二叉树
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Given preorder and inorder traversal of a tree, construct the binary tree.
Note:
You may assume that duplicates do not exist in the tree.
For example, given
preorder = [3,9,20,15,7] inorder = [9,3,15,20,7]
Return the following binary tree:
3 / \\ 9 20 / \\ 15 7
给一棵树的先序和中序遍历,构建二叉树。
Java:
public TreeNode buildTree(int[] preorder, int[] inorder) { return helper(0, 0, inorder.length - 1, preorder, inorder); } public TreeNode helper(int preStart, int inStart, int inEnd, int[] preorder, int[] inorder) { if (preStart > preorder.length - 1 || inStart > inEnd) { return null; } TreeNode root = new TreeNode(preorder[preStart]); int inIndex = 0; // Index of current root in inorder for (int i = inStart; i <= inEnd; i++) { if (inorder[i] == root.val) { inIndex = i; } } root.left = helper(preStart + 1, inStart, inIndex - 1, preorder, inorder); root.right = helper(preStart + inIndex - inStart + 1, inIndex + 1, inEnd, preorder, inorder); return root; }
Python: Recursive
def buildTree(self, preorder, inorder): if inorder: ind = inorder.index(preorder.pop(0)) root = TreeNode(inorder[ind]) root.left = self.buildTree(preorder, inorder[0:ind]) root.right = self.buildTree(preorder, inorder[ind+1:]) return root
Python:
class TreeNode: def __init__(self, x): self.val = x self.left = None self.right = None class Solution: # @param preorder, a list of integers # @param inorder, a list of integers # @return a tree node def buildTree(self, preorder, inorder): lookup = {} for i, num in enumerate(inorder): lookup[num] = i return self.buildTreeRecu(lookup, preorder, inorder, 0, 0, len(inorder)) def buildTreeRecu(self, lookup, preorder, inorder, pre_start, in_start, in_end): if in_start == in_end: return None node = TreeNode(preorder[pre_start]) i = lookup[preorder[pre_start]] node.left = self.buildTreeRecu(lookup, preorder, inorder, pre_start + 1, in_start, i) node.right = self.buildTreeRecu(lookup, preorder, inorder, pre_start + 1 + i - in_start, i + 1, in_end) return node if __name__ == "__main__": preorder = [1, 2, 3] inorder = [2, 1, 3] result = Solution().buildTree(preorder, inorder) print(result.val) print(result.left.val) print(result.right.val)
C++:
// Time: O(n) // Space: O(n) /** * Definition for a binary tree node. * struct TreeNode { * int val; * TreeNode *left; * TreeNode *right; * TreeNode(int x) : val(x), left(NULL), right(NULL) {} * }; */ class Solution { public: TreeNode* buildTree(vector<int>& preorder, vector<int>& inorder) { unordered_map<int, size_t> in_entry_idx_map; for (size_t i = 0; i < inorder.size(); ++i) { in_entry_idx_map.emplace(inorder[i], i); } return ReconstructPreInOrdersHelper(preorder, 0, preorder.size(), inorder, 0, inorder.size(), in_entry_idx_map); } // Reconstructs the binary tree from pre[pre_s : pre_e - 1] and // in[in_s : in_e - 1]. TreeNode *ReconstructPreInOrdersHelper(const vector<int>& preorder, size_t pre_s, size_t pre_e, const vector<int>& inorder, size_t in_s, size_t in_e, const unordered_map<int, size_t>& in_entry_idx_map) { if (pre_s == pre_e || in_s == in_e) { return nullptr; } auto idx = in_entry_idx_map.at(preorder[pre_s]); auto left_tree_size = idx - in_s; auto node = new TreeNode(preorder[pre_s]); node->left = ReconstructPreInOrdersHelper(preorder, pre_s + 1, pre_s + 1 + left_tree_size, inorder, in_s, idx, in_entry_idx_map); node->right = ReconstructPreInOrdersHelper(preorder, pre_s + 1 + left_tree_size, pre_e, inorder, idx + 1, in_e, in_entry_idx_map); return node; } };
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