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website/content/ChapterFour/0098.Validate-Binary-Search-Tree.md
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# [98. Validate Binary Search Tree](https://leetcode.com/problems/validate-binary-search-tree/)
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## 题目
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Given a binary tree, determine if it is a valid binary search tree (BST).
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Assume a BST is defined as follows:
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- The left subtree of a node contains only nodes with keys **less than** the node's key.
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- The right subtree of a node contains only nodes with keys **greater than** the node's key.
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- Both the left and right subtrees must also be binary search trees.
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**xample 1:**
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2
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/ \
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1 3
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Input: [2,1,3]
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Output: true
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**Example 2**:
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5
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/ \
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1 4
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/ \
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3 6
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Input: [5,1,4,null,null,3,6]
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Output: false
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Explanation: The root node's value is 5 but its right child's value is 4.
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## 题目大意
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给定一个二叉树,判断其是否是一个有效的二叉搜索树。假设一个二叉搜索树具有如下特征:
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- 节点的左子树只包含小于当前节点的数。
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- 节点的右子树只包含大于当前节点的数。
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- 所有左子树和右子树自身必须也是二叉搜索树。
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## 解题思路
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- 判断一个树是否是 BST,按照定义递归判断即可
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## 代码
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```go
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package leetcode
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import "math"
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/**
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* Definition for a binary tree node.
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* type TreeNode struct {
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* Val int
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* Left *TreeNode
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* Right *TreeNode
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* }
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*/
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// 解法一,直接按照定义比较大小,比 root 节点小的都在左边,比 root 节点大的都在右边
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func isValidBST(root *TreeNode) bool {
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return isValidbst(root, math.Inf(-1), math.Inf(1))
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}
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func isValidbst(root *TreeNode, min, max float64) bool {
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if root == nil {
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return true
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}
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v := float64(root.Val)
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return v < max && v > min && isValidbst(root.Left, min, v) && isValidbst(root.Right, v, max)
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}
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// 解法二,把 BST 按照左中右的顺序输出到数组中,如果是 BST,则数组中的数字是从小到大有序的,如果出现逆序就不是 BST
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func isValidBST1(root *TreeNode) bool {
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arr := []int{}
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inOrder(root, &arr)
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for i := 1; i < len(arr); i++ {
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if arr[i-1] >= arr[i] {
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return false
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}
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}
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return true
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}
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func inOrder(root *TreeNode, arr *[]int) {
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if root == nil {
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return
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}
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inOrder(root.Left, arr)
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*arr = append(*arr, root.Val)
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inOrder(root.Right, arr)
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}
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```
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