Given two Binary Search Trees, find common nodes in them. In other words, find intersection of two BSTs.

Example:

from: http://www.geeksforgeeks.org/print-common-nodes-in-two-binary-search-trees/

Method 1 (Simple Solution) A simple way is to one by once search every node of first tree in second tree. Time complexity of this solution is O(m * h) where m is number of nodes in first tree and h is height of second tree.

Method 2 (Linear Time) We can find common elements in O(n) time.
1) Do inorder traversal of first tree and store the traversal in an auxiliary array ar1[]. 
2) Do inorder traversal of second tree and store the traversal in an auxiliary array ar2[]
3) Find intersection of ar1[] and ar2[]. See this for details.

Time complexity of this method is O(m+n) where m and n are number of nodes in first and second tree respectively. This solution requires O(m+n) extra space.

Method 3 (Linear Time and limited Extra Space) We can find common elements in O(n) time and O(h1 + h2) extra space where h1 and h2 are heights of first and second BSTs respectively.
The idea is to use iterative inorder traversal. We use two auxiliary stacks for two BSTs. Since we need to find common elements, whenever we get same element, we print it.

 public List<Integer> commonNodes(TreeNode root1, TreeNode root2) {
List<Integer> list = new ArrayList<Integer>(); Stack<TreeNode> stack1 = new Stack<TreeNode>();
Stack<TreeNode> stack2 = new Stack<TreeNode>(); while (root1 != null) {
stack1.push(root1);
root1 = root1.left;
} while (root2 != null) {
stack2.push(root2);
root2 = root2.left;
} while (stack1.size() > && stack2.size() > ) {
TreeNode node1 = stack1.peek();
TreeNode node2 = stack2.peek(); if (node1.val == node2.val) {
list.add(node1.val);
node1 = stack1.pop().right;
node2 = stack2.pop().right; while (node1 != null) {
stack1.push(node1);
node1 = node1.left;
} while (node2 != null) {
stack2.push(node2);
node2 = node2.left;
}
} else if (node1.val < node2.val) {
node1 = stack1.pop().right; while (node1 != null) {
stack1.push(node1);
node1 = node1.left;
}
} else {
node2 = stack2.pop().right;
while (node2 != null) {
stack2.push(node2);
node2 = node2.left;
}
}
}
return list;
}

Print Common Nodes in Two Binary Search Trees的更多相关文章

  1. [LeetCode] Lowest Common Ancestor of a Binary Search Tree 二叉搜索树的最小共同父节点

    Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BS ...

  2. Method for balancing binary search trees

    Method for balancing a binary search tree. A computer implemented method for balancing a binary sear ...

  3. [LeetCode] 235. Lowest Common Ancestor of a Binary Search Tree 二叉搜索树的最小共同父节点

    Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BS ...

  4. Optimal binary search trees

    问题 该问题的实际应用 Suppose that we are designing a program to translate text from English to French. For ea ...

  5. LEETCODE —— Unique Binary Search Trees [动态规划]

    Given n, how many structurally unique BST's (binary search trees) that store values 1...n? For examp ...

  6. LeetCode-96. Unique Binary Search Trees

    Description: Given n, how many structurally unique BST's (binary search trees) that store values 1.. ...

  7. Unique Binary Search Trees I & II

    Given n, how many structurally unique BSTs (binary search trees) that store values 1...n? Example Gi ...

  8. [geeksforgeeks] Lowest Common Ancestor in a Binary Search Tree.

    http://www.geeksforgeeks.org/lowest-common-ancestor-in-a-binary-search-tree/ Lowest Common Ancestor ...

  9. leetcode面试准备:Lowest Common Ancestor of a Binary Search Tree & Binary Tree

    leetcode面试准备:Lowest Common Ancestor of a Binary Search Tree & Binary Tree 1 题目 Binary Search Tre ...

随机推荐

  1. mysql的Replication机制

    mysql的Replication机制 参考文档:http://www.doc88.com/p-186638485596.html Mysql的 Replication 是一个异步的复制过程. 从上图 ...

  2. 递归函数解决n到m之间求和问题

    int main() { int n,m; ; scanf("%d %d",&n,&m); result=fun(n,m); printf("%d&quo ...

  3. 未能正确加载“Microsoft.VisualStudio.Editor.Implementation.EditorPackage”包

    解决方案: 关掉VS2012... "Microsoft Visual Studio 2012"->"Visual Studio Tools"->& ...

  4. Java多线程编程核心技术---线程间通信(一)

    线程是操作系统中独立的个体,但这些个体如果不经过特殊处理就不能成为一个整体.线程间的通信就是成为整体的必用方案之一.线程间通信可以使系统之间的交互性更强大,在大大提高CPU利用率的同时还会使程序员对各 ...

  5. [工具]json转类

    摘要 这周在园子看到一篇介绍JsonCSharpClassGenerator这个工具的文章,感觉挺实用的,在现在项目中json用的是最多的,所以在转换对应的类的时候,确实挺频繁,所以就研究了一下这个工 ...

  6. 如何修改mysql默认的数据库密码

    1,首先链接到数据库 mysql -h 127.0.0.1 -uroot -p 2,选择数据库 use mysql; 3,修改user表的密码 UPDATE user SET Password=PAS ...

  7. Python画图笔记

    matplotlib的官方网址:http://matplotlib.org/ 问题 Python Matplotlib画图,在坐标轴.标题显示这五个字符 ⊥ + - ⊺ ⨁,并且保存后也能显示   h ...

  8. CSS 和 JS 文件合并工具

    写 CSS 和 JavaScript 的时候, 我们会遇到一个两难的局面: 要么将代码写在一个大文件, 要么将代码分成多个文件. 前者导致文件难以管理, 代码复用性差, 后者则因为需要在载入多个文件令 ...

  9. 基础知识系列☞MSSQL→约束

    遇到一个数据库设计很渣的系统··· 本来一个约束就能解决的问题·以前建库的时候也不设计好···

  10. ThikPHP3.1 常用方法(one)

    公司常用但没学过的一些函数,记录一下备份. 1,在Rest操作方法中,可以使用$this->_type获取当前访问的资源类型,用$this->_method获取当前的请求类型. 2.uns ...