README_EN.md

comments	difficulty	edit_url	tags
true	Medium	https://github.com/doocs/leetcode/edit/main/solution/0100-0199/0105.Construct%20Binary%20Tree%20from%20Preorder%20and%20Inorder%20Traversal/README_EN.md	Tree Array Hash Table Divide and Conquer Binary Tree

105. Construct Binary Tree from Preorder and Inorder Traversal

中文文档

Description

Given two integer arrays preorder and inorder where preorder is the preorder traversal of a binary tree and inorder is the inorder traversal of the same tree, construct and return the binary tree.

 

Example 1:

Input: preorder = [3,9,20,15,7], inorder = [9,3,15,20,7]
Output: [3,9,20,null,null,15,7]

Example 2:

Input: preorder = [-1], inorder = [-1]
Output: [-1]

 

Constraints:

• 1 <= preorder.length <= 3000
• inorder.length == preorder.length
• -3000 <= preorder[i], inorder[i] <= 3000
• preorder and inorder consist of unique values.
• Each value of inorder also appears in preorder.
• preorder is guaranteed to be the preorder traversal of the tree.
• inorder is guaranteed to be the inorder traversal of the tree.

Solutions

Solution 1: Hash Table + Recursion

The first node $preorder[0]$ in the pre-order sequence is the root node. We find the position $k$ of the root node in the in-order sequence, which can divide the in-order sequence into the left subtree $inorder[0..k]$ and the right subtree $inorder[k+1..]$.

Through the intervals of the left and right subtrees, we can calculate the number of nodes in the left and right subtrees, assumed to be $a$ and $b$. Then in the pre-order nodes, the $a$ nodes after the root node are the left subtree, and the $b$ nodes after that are the right subtree.

Therefore, we design a function $dfs(i, j, n)$, where $i$ and $j$ represent the starting positions of the pre-order sequence and the in-order sequence, respectively, and $n$ represents the number of nodes. The return value of the function is the binary tree constructed with $preorder[i..i+n-1]$ as the pre-order sequence and $inorder[j..j+n-1]$ as the in-order sequence.

The execution process of the function $dfs(i, j, n)$ is as follows:

• If $n \leq 0$, it means there are no nodes, return a null node.
• Take out the first node $v = preorder[i]$ of the pre-order sequence as the root node, and then use the hash table $d$ to find the position $k$ of the root node in the in-order sequence. Then the number of nodes in the left subtree is $k - j$, and the number of nodes in the right subtree is $n - k + j - 1$.
• Recursively construct the left subtree $l = dfs(i + 1, j, k - j)$ and the right subtree $r = dfs(i + 1 + k - j, k + 1, n - k + j - 1)$.
• Finally, return the binary tree with $v$ as the root node and $l$ and $r$ as the left and right subtrees, respectively.

The time complexity is $O(n)$, and the space complexity is $O(n)$. Here, $n$ is the number of nodes in the binary tree.

Python3

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right
class Solution:
    def buildTree(self, preorder: List[int], inorder: List[int]) -> Optional[TreeNode]:
        def dfs(i: int, j: int, n: int) -> Optional[TreeNode]:
            if n <= 0:
                return None
            v = preorder[i]
            k = d[v]
            l = dfs(i + 1, j, k - j)
            r = dfs(i + 1 + k - j, k + 1, n - k + j - 1)
            return TreeNode(v, l, r)

        d = {v: i for i, v in enumerate(inorder)}
        return dfs(0, 0, len(preorder))

Java

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */
class Solution {
    private int[] preorder;
    private Map<Integer, Integer> d = new HashMap<>();

    public TreeNode buildTree(int[] preorder, int[] inorder) {
        int n = preorder.length;
        this.preorder = preorder;
        for (int i = 0; i < n; ++i) {
            d.put(inorder[i], i);
        }
        return dfs(0, 0, n);
    }

    private TreeNode dfs(int i, int j, int n) {
        if (n <= 0) {
            return null;
        }
        int v = preorder[i];
        int k = d.get(v);
        TreeNode l = dfs(i + 1, j, k - j);
        TreeNode r = dfs(i + 1 + k - j, k + 1, n - 1 - (k - j));
        return new TreeNode(v, l, r);
    }
}

C++

/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode() : val(0), left(nullptr), right(nullptr) {}
 *     TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
 *     TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
 * };
 */
class Solution {
public:
    TreeNode* buildTree(vector<int>& preorder, vector<int>& inorder) {
        int n = preorder.size();
        unordered_map<int, int> d;
        for (int i = 0; i < n; ++i) {
            d[inorder[i]] = i;
        }
        function<TreeNode*(int, int, int)> dfs = [&](int i, int j, int n) -> TreeNode* {
            if (n <= 0) {
                return nullptr;
            }
            int v = preorder[i];
            int k = d[v];
            TreeNode* l = dfs(i + 1, j, k - j);
            TreeNode* r = dfs(i + 1 + k - j, k + 1, n - 1 - (k - j));
            return new TreeNode(v, l, r);
        };
        return dfs(0, 0, n);
    }
};

Go

/**
 * Definition for a binary tree node.
 * type TreeNode struct {
 *     Val int
 *     Left *TreeNode
 *     Right *TreeNode
 * }
 */
func buildTree(preorder []int, inorder []int) *TreeNode {
	d := map[int]int{}
	for i, x := range inorder {
		d[x] = i
	}
	var dfs func(i, j, n int) *TreeNode
	dfs = func(i, j, n int) *TreeNode {
		if n <= 0 {
			return nil
		}
		v := preorder[i]
		k := d[v]
		l := dfs(i+1, j, k-j)
		r := dfs(i+1+k-j, k+1, n-1-(k-j))
		return &TreeNode{v, l, r}
	}
	return dfs(0, 0, len(preorder))
}

TypeScript

/**
 * Definition for a binary tree node.
 * class TreeNode {
 *     val: number
 *     left: TreeNode | null
 *     right: TreeNode | null
 *     constructor(val?: number, left?: TreeNode | null, right?: TreeNode | null) {
 *         this.val = (val===undefined ? 0 : val)
 *         this.left = (left===undefined ? null : left)
 *         this.right = (right===undefined ? null : right)
 *     }
 * }
 */

function buildTree(preorder: number[], inorder: number[]): TreeNode | null {
    const d: Map<number, number> = new Map();
    const n = inorder.length;
    for (let i = 0; i < n; ++i) {
        d.set(inorder[i], i);
    }
    const dfs = (i: number, j: number, n: number): TreeNode | null => {
        if (n <= 0) {
            return null;
        }
        const v = preorder[i];
        const k = d.get(v)!;
        const l = dfs(i + 1, j, k - j);
        const r = dfs(i + 1 + k - j, k + 1, n - 1 - (k - j));
        return new TreeNode(v, l, r);
    };
    return dfs(0, 0, n);
}

Rust

// Definition for a binary tree node.
// #[derive(Debug, PartialEq, Eq)]
// pub struct TreeNode {
//   pub val: i32,
//   pub left: Option<Rc<RefCell<TreeNode>>>,
//   pub right: Option<Rc<RefCell<TreeNode>>>,
// }
//
// impl TreeNode {
//   #[inline]
//   pub fn new(val: i32) -> Self {
//     TreeNode {
//       val,
//       left: None,
//       right: None
//     }
//   }
// }
use std::cell::RefCell;
use std::collections::HashMap;
use std::rc::Rc;
impl Solution {
    pub fn build_tree(preorder: Vec<i32>, inorder: Vec<i32>) -> Option<Rc<RefCell<TreeNode>>> {
        let mut d = HashMap::new();
        for (i, &x) in inorder.iter().enumerate() {
            d.insert(x, i);
        }
        Self::dfs(&preorder, &d, 0, 0, preorder.len())
    }

    pub fn dfs(
        preorder: &Vec<i32>,
        d: &HashMap<i32, usize>,
        i: usize,
        j: usize,
        n: usize,
    ) -> Option<Rc<RefCell<TreeNode>>> {
        if n <= 0 {
            return None;
        }
        let v = preorder[i];
        let k = d[&v];
        let mut root = TreeNode::new(v);
        root.left = Self::dfs(preorder, d, i + 1, j, k - j);
        root.right = Self::dfs(preorder, d, i + k - j + 1, k + 1, n - k + j - 1);
        Some(Rc::new(RefCell::new(root)))
    }
}

JavaScript

/**
 * Definition for a binary tree node.
 * function TreeNode(val, left, right) {
 *     this.val = (val===undefined ? 0 : val)
 *     this.left = (left===undefined ? null : left)
 *     this.right = (right===undefined ? null : right)
 * }
 */
/**
 * @param {number[]} preorder
 * @param {number[]} inorder
 * @return {TreeNode}
 */
var buildTree = function (preorder, inorder) {
    const d = new Map();
    const n = inorder.length;
    for (let i = 0; i < n; ++i) {
        d.set(inorder[i], i);
    }
    const dfs = (i, j, n) => {
        if (n <= 0) {
            return null;
        }
        const v = preorder[i];
        const k = d.get(v);
        const l = dfs(i + 1, j, k - j);
        const r = dfs(i + 1 + k - j, k + 1, n - 1 - (k - j));
        return new TreeNode(v, l, r);
    };
    return dfs(0, 0, n);
};

If the node values given in the problem have duplicates, then we only need to record all the positions where each node value appears, and then recursively construct the tree.

Python3

class Solution:
    def getBinaryTrees(self, preOrder: List[int], inOrder: List[int]) -> List[TreeNode]:
        def dfs(i: int, j: int, n: int) -> List[TreeNode]:
            if n <= 0:
                return [None]
            v = preOrder[i]
            ans = []
            for k in d[v]:
                if j <= k < j + n:
                    for l in dfs(i + 1, j, k - j):
                        for r in dfs(i + 1 + k - j, k + 1, n - 1 - (k - j)):
                            ans.append(TreeNode(v, l, r))
            return ans

        d = defaultdict(list)
        for i, x in enumerate(inOrder):
            d[x].append(i)
        return dfs(0, 0, len(preOrder))

Java

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */
class Solution {
    private int[] preorder;
    private Map<Integer, Integer> d = new HashMap<>();

    public TreeNode buildTree(int[] preorder, int[] inorder) {
        int n = preorder.length;
        this.preorder = preorder;
        for (int i = 0; i < n; ++i) {
            d.put(inorder[i], i);
        }
        return dfs(0, 0, n);
    }

    private TreeNode dfs(int i, int j, int n) {
        if (n <= 0) {
            return null;
        }
        int v = preorder[i];
        int k = d.get(v);
        TreeNode l = dfs(i + 1, j, k - j);
        TreeNode r = dfs(i + 1 + k - j, k + 1, n - 1 - (k - j));
        return new TreeNode(v, l, r);
    }
}

C++

/**
 * struct TreeNode {
 *	int val;
 *	struct TreeNode *left;
 *	struct TreeNode *right;
 *	TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
 * };
 */
class Solution {
public:
    vector<TreeNode*> getBinaryTrees(vector<int>& preOrder, vector<int>& inOrder) {
        int n = inOrder.size();
        unordered_map<int, vector<int>> d;
        for (int i = 0; i < n; ++i) {
            d[inOrder[i]].push_back(i);
        }
        function<vector<TreeNode*>(int, int, int)> dfs = [&](int i, int j, int n) -> vector<TreeNode*> {
            vector<TreeNode*> ans;
            if (n <= 0) {
                ans.push_back(nullptr);
                return ans;
            }
            int v = preOrder[i];
            for (int k : d[v]) {
                if (k >= j && k < j + n) {
                    auto lefts = dfs(i + 1, j, k - j);
                    auto rights = dfs(i + 1 + k - j, k + 1, n - 1 - (k - j));
                    for (TreeNode* l : lefts) {
                        for (TreeNode* r : rights) {
                            TreeNode* node = new TreeNode(v);
                            node->left = l;
                            node->right = r;
                            ans.push_back(node);
                        }
                    }
                }
            }
            return ans;
        };
        return dfs(0, 0, n);
    }
};

Go

func getBinaryTrees(preOrder []int, inOrder []int) []*TreeNode {
	n := len(preOrder)
	d := map[int][]int{}
	for i, x := range inOrder {
		d[x] = append(d[x], i)
	}
	var dfs func(i, j, n int) []*TreeNode
	dfs = func(i, j, n int) []*TreeNode {
		ans := []*TreeNode{}
		if n <= 0 {
			ans = append(ans, nil)
			return ans
		}
		v := preOrder[i]
		for _, k := range d[v] {
			if k >= j && k < j+n {
				lefts := dfs(i+1, j, k-j)
				rights := dfs(i+1+k-j, k+1, n-1-(k-j))
				for _, left := range lefts {
					for _, right := range rights {
						ans = append(ans, &TreeNode{v, left, right})
					}
				}
			}
		}
		return ans
	}
	return dfs(0, 0, n)
}