leetcode98 - Validate Binary Search Tree - medium

Given a binary tree, determine if it is a valid binary search tree (BST).
Assume a BST is defined as follows:
* The left subtree of a node contains only nodes with keys less than the node's key.
* The right subtree of a node contains only nodes with keys greater than the node's key.
* Both the left and right subtrees must also be binary search trees.
Example 1:
Input:
    2
   / \
  1   3
Output: true
Example 2:
    5
   / \
  1   4
     / \
    3   6
Output: false
Explanation: The input is: [5,1,4,null,null,3,6]. The root node's value
             is 5 but its right child's value is 4. 
 
 
法1.O(n) O(h) 利用性质:左边所有节点的值要比当前节点小,右边所有节点的值要比当前节点大。
那么就有想法,你每遍历到一个节点就对孩子们可取范围多加了一层限制。
递归函数头为:private boolean validateRange(TreeNode root, Integer minVal, Integer maxVal)
细节:
1.用Integer的包装类型的原因是,使用null代表无限制,你可以取无穷大。比如root的右边应该是(root.val, 无穷)的。
2.递归的时候需要根据当前根节点更新左右子树的范围。
 
法2.O(n) O(h) 利用性质:中序遍历是递增序列。(注意需要在左<中<右的条件下可以用这个检验。如果是左<=中<右,20- 20(root)和20(root) - 20两个中序遍历都是20,20,但前者是BST后者不是BST。)

实现1:分治法,验证合法范围。O(n), O(h)

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode(int x) { val = x; }
 * }
 */
class Solution {
    public boolean isValidBST(TreeNode root) {
        return validateRange(root, null, null);
    }
    
    private boolean validateRange(TreeNode root, Integer minVal, Integer maxVal) {
        if (root == null) return true;
        if (minVal != null && root.val <= minVal) return false;
        if (maxVal != null && root.val >= maxVal) return false;
        return validateRange(root.left, minVal, root.val) && validateRange(root.right, root.val, maxVal);
    }
}

实现2:recursive版中序遍历 O(n), O(h)

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode(int x) { val = x; }
 * }
 */
class Solution {
    public boolean isValidBST(TreeNode root) {
        List<Integer> list = new ArrayList<>();
        getInOrderResult(root, list);
        for (int i = 1; i < list.size(); i++) {
            if (list.get(i) <= list.get(i - 1)) {
                return false;
            }
        }
        return true;
    }
    
    private void getInOrderResult(TreeNode root, List<Integer> list) {
        if (root == null) {
            return;
        }
        getInOrderResult(root.left, list);
        list.add(root.val);
        getInOrderResult(root.right, list);
    }
}

实现3:iterative版中序遍历 O(n), O(h)

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode(int x) { val = x; }
 * }
 */
class Solution {
    public boolean isValidBST(TreeNode root) {
        // P1: null 是BST。
        List<Integer> list = new ArrayList<>();
        Stack<TreeNode> stack = new Stack<>();
        TreeNode crt = root;
        
        while (!stack.isEmpty() || crt != null) {
            while (crt != null) {
                stack.push(crt);
                crt = crt.left;
            }
            crt = stack.pop();
            list.add(crt.val);
            // P2: 不管crt.right是不是null都要赋值。
            crt = crt.right;
        }
        
        for (int i = 1; i < list.size(); i++) {
            if (list.get(i) <= list.get(i - 1)) {
                return false;
            }
        }
        return true;
    }
}

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转载自www.cnblogs.com/jasminemzy/p/9776014.html