Convert Sorted List to Binary Search Tree

本文详细介绍了如何通过中序遍历来将一个升序排序的单链表转换为一个高度平衡的二叉搜索树,并提供了关键步骤和代码实现。

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

解题思路:采用中序排列的方法递归地决定每个结点的数值;

#include<iostream>
#include<vector>
#include<algorithm>
using namespace std;
//Definition for singly - linked list.
struct ListNode {
	int val;
	ListNode *next;
	ListNode(int x) : val(x), next(NULL) {}
	
};
//Definition for binary tree
struct TreeNode {
   int val;
   TreeNode *left;
   TreeNode *right;
   TreeNode(int x) : val(x), left(NULL), right(NULL) {}
};
void ListToBST(vector<ListNode*>::iterator Begin, vector<ListNode*>::iterator End, TreeNode*&root)
{
	if (Begin==End)
		return;
	auto len = distance(Begin,End);
	if ((int)len == 1){
		root = new TreeNode((*Begin)->val);
		return;
	}
	auto Iter_mid = Begin;
	advance(Iter_mid, len / 2);
	root = new TreeNode((*Iter_mid)->val);
	ListToBST(Begin, Iter_mid, root->left);
	ListToBST(Iter_mid + 1, End, root->right);
}
TreeNode *sortedListToBST(ListNode *head) {
	vector<ListNode*>NodeVector;
	for (; head != NULL; head = head->next)
		NodeVector.push_back(head);
	TreeNode* Root = NULL;
	ListToBST(NodeVector.begin(), NodeVector.end(), Root);
	return Root;
}


【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.
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