Convert Sorted List to Binary Search Tree

本文介绍了一种将有序单链表转换为高度平衡二叉搜索树(BST)的方法。核心思路在于利用中点分割的方式,选取链表中间元素作为BST根节点,并递归地将左右两部分链表分别构建为根节点的左右子树。

Given a singly linked list where elements are sorted in ascending order, convert it to a height balanced BST.

思路:找到中间节点,中间节点是BST树根,然后中间节点的 左半部分 是树根的左子树, 右半部分是树根的右子树,依次递归下去。


/**
 * Definition for singly-linked list.
 * public class ListNode {
 *     int val;
 *     ListNode next;
 *     ListNode(int x) { val = x; }
 * }
 */
/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode(int x) { val = x; }
 * }
 */
public class Solution {
    public TreeNode sortedListToBST(ListNode head) 
    {
        int nlen = 0,i=0;
        ListNode p =head;
        while(p!=null)
        {
            nlen++;
            p=p.next;
        }
        if(nlen==0)
            return null;
        int[] num = new int[nlen];
        while(head!=null)
        {
            num[i++]=head.val;
            head=head.next;
        }
        int mid = nlen/2;
        TreeNode root = new TreeNode(num[mid]);
        helper(num,0,mid-1,root,0);
        helper(num,mid+1,nlen-1,root,1);
        return root;
    }
    public void helper(int[] num,int i,int j,TreeNode cur,int flag)
    {
        if(i<=j)
        {
            int l = i, r = j;
            int mid = l+(r-l)/2;
            TreeNode tn = new TreeNode(num[mid]);
            if(flag==0) // left
            {
                cur.left=tn;
                helper(num,l,mid-1,tn,0);
                helper(num,mid+1,r,tn,1);
            }
            if(flag==1) // right
            {
                cur.right=tn;
                helper(num,l,mid-1,tn,0);
                helper(num,mid+1,r,tn,1);
            }
        }
    }
}


【Solution】 To convert a binary search tree into a sorted circular doubly linked list, we can use the following steps: 1. Inorder traversal of the binary search tree to get the elements in sorted order. 2. Create a doubly linked list and add the elements from the inorder traversal to it. 3. Make the list circular by connecting the head and tail nodes. 4. Return the head node of the circular doubly linked list. Here's the Python code for the solution: ``` class Node: def __init__(self, val): self.val = val self.prev = None self.next = None def tree_to_doubly_list(root): if not root: return None stack = [] cur = root head = None prev = None while cur or stack: while cur: stack.append(cur) cur = cur.left cur = stack.pop() if not head: head = cur if prev: prev.right = cur cur.left = prev prev = cur cur = cur.right head.left = prev prev.right = head return head ``` To verify the accuracy of the code, we can use the following test cases: ``` # Test case 1 # Input: [4,2,5,1,3] # Output: # Binary search tree: # 4 # / \ # 2 5 # / \ # 1 3 # Doubly linked list: 1 <-> 2 <-> 3 <-> 4 <-> 5 # Doubly linked list in reverse order: 5 <-> 4 <-> 3 <-> 2 <-> 1 root = Node(4) root.left = Node(2) root.right = Node(5) root.left.left = Node(1) root.left.right = Node(3) head = tree_to_doubly_list(root) print("Binary search tree:") print_tree(root) print("Doubly linked list:") print_list(head) print("Doubly linked list in reverse order:") print_list_reverse(head) # Test case 2 # Input: [2,1,3] # Output: # Binary search tree: # 2 # / \ # 1 3 # Doubly linked list: 1 <-> 2 <-> 3 # Doubly linked list in reverse order: 3 <-> 2 <-> 1 root = Node(2) root.left = Node(1) root.right = Node(3) head = tree_to_doubly_list(root) print("Binary search tree:") print_tree(root) print("Doubly linked list:") print_list(head) print("Doubly linked list in reverse order:") print_list_reverse(head) ``` The output of the test cases should match the expected output as commented in the code.
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值