binary-tree

Following is my algorithm to find first common ancestor. But I don’t know how to calculate it time complexity, can anyone help? public Tree commonAncestor(Tree root, Tree p, Tree q) { if (covers(root.left, p) && covers(root.left, q)) return commonAncestor(root.left, p, q); if (covers(root.right, p) && covers(root.right, q)) return commonAncestor(root.right, p, q); return root; } private boolean covers(Tree root, Tree p) { /* is p a child of root? */ if (root == null) return false; if (root == p) return true; return covers(root.left, p) || covers(root.right, p); } Ok, so let's start by

So I've looked around the web and a couple of questions here in stackoverflow here are the definition: Generally, an internal node is any node that is not a leaf (a node with no children) Non-leaf/Non-terminal/Internal node – has at least one child or descendant node with degree not equal to 0 As far as i understand it, it is a node which is not a leaf. I was about to conclude that the root is also an internal node but there seems to be some ambiguity on its definition as seen here: What is an "internal node" in a binary search tree? As the wonderful picture shows, internal nodes are nodes

I've scoured the internet for help on this problem but I need help. This isn't exactly an ordinary insertion problem for a binary tree, since we don't get to work directly with the tree structure itself. My prof wrote that himself and has given us functions we can use to write functions pertaining to binary trees. As such, I can't use nodes and pointers and things. Also this is in C++. Anyway, so here is the description of the recursive function I have to write ( along with my starting attempt at working with the problem). Notice it returns a new tree entirely, it does not actually add

Binary Tree insertion: #include "stdafx.h" #include <iostream> using namespace std; struct TreeNode { int value; TreeNode* left; TreeNode* right; }; struct TreeType { TreeNode* root; void insert(TreeNode* tree, int item); void insertItem(int value) { insert(root, value); } }; void TreeType::insert(TreeNode* tree, int number) { if (tree == NULL) { tree = new TreeNode; tree->left = NULL; tree->right = NULL; tree->value = number; cout << "DONE"; } else if (number < tree->value) { insert(tree->left, number); } else { insert(tree->right, number); } } int main() { TreeType* MyTree = new TreeType;

Consider a binary tree with the following properties: An internal node (non-leaf node) has a value 1 if it has two children. A leaf node has a value 0 since it has no children. A level order traversal on the tree would generate a string of 1s and 0s (by printing the weird value at each node as they are visited). Now given this string construct the binary tree and perform a post order traversal on the tree. The post order string should be the output of the program. For example: Input String is 111001000 . Create a binary tree from this. Then perform the post order traversal on the tree which

I'm reading the Cormen algorithms book (binary search tree chapter) and it says that there are two ways to traverse the tree without recursion: using stack and a more complicated but elegant solution that uses no stack but assumes that two pointers can be tested for equality I've implemented the first option (using stack), but don't know how to implement the latter. This is not a homework, just reading to educate myself. Any clues as to how to implement the second one in C#? Sure thing. You didn't say what kind of traversal you wanted, but here's the pseudocode for an in-order traversal. t =