binary-search-tree

What is the difference between binary search and binary search tree? Are they the same? Reading the internet it seems the second is only for trees (up to 2 children nodes) and binary search doesn't follow this rule. I didn't quite get it. Binary Search Trees A node in a binary tree is a data structure that has an element, and a reference to two other binary trees, typically called the left and right subtrees. I.e., a node presents an interface like this: Node: element (an element of some type) left (a binary tree, or NULL) right (a binary tree, or NULL) A binary search tree is a binary tree (i

I'm looking for some examples of tree structures that are used in commercial/free software projects, modern or old. I can see examples on wikipedia, but I am looking for more concrete examples and how they're used. For example primary keys in databases are (from what I've read) stored in BST structure or a variation of the BST (feel free to correct me on this) My question isn't limited Binary Search Trees (BSTs), it can include any variation such as red-black, AVL and so on. dirkgently Is it okay if the examples are a tad bit generic i.e. relate to graphs and not necessarily to trees? If it is

I was trying to implement a code for binary search trees. Problem is following code is not working but it works if I pass double pointer to insert funcion like insert(struct bst** node, data). I think it should also work with passing single pointers. Can anyone explain what is the error here ? void insert(struct bst* node, int data ) { if (node == NULL) { printf("here with %d\n",data); node = (struct bst*)malloc(sizeof(struct bst)); node->data = data; node->left = NULL; node->right = NULL; } if(data < node->data) { insert(node->left,data); } else if(data > node->data) { insert(node->right,data

We got an assignment where we need to code: A Binary Search Tree The Tree has to be complete , not perfect (which means all nodes which are not on the lowest level or second lowest level should have 2 children, while the nodes on the lowest level should be as far left as possible) We need to insert to the tree in level order So if I have an Array with elements {0, 1, 2, 3, 4, 5, 6, 7} the root should be 4 , with 2, 1, 3, 0 on the left side, and 6, 5, 7 on the right side. The level order insert would be: 4, 2, 6, 1, 3, 5, 7, 0 Just taking the middle of the Array and put it as root doesn't work.

Iam trying to implement a recursive insert node method for BST class public void insertNode(Node r, Node n) { if(r == null) { System.out.println("r=n"+ n.data); r = n; } else { System.out.println("r=! null finding place in tree for "+ n.data); if(n.data <= r.data) { if(r.left == null) r.left = n; else insertNode(r.left, n); } else { if(r.right == null) r.right = n; else insertNode(r.right, n); } } } Im trying to invoke this method like so: int[] arrTree = {34, 2, 56, 12, 44, 39, 56, 1}; BT t = new BT(); for (int i = 0; i < arrTree.length; i++) { //System.out.println("Tree Root = "+ t.getRoot()

public void HeightIterative() { int counter = 0; int counter2 = 0; TreeNode current=root; if(current != null) { while(current.LeftNode!=null) { counter++; current = current.LeftNode; } while(current.RightNode!=null) { counter2++; current = current.RightNode; } } int res = 1+Math.Max(counter, counter2); Console.WriteLine("The Height Of Tree Is: "+res); } I wrote iterative method, to calculate height of tree. but in some cases its not working properly. As in case: 10 1 2 3 4 5 18 17 16 15 14 13 what's the problem. according to this sequence height of tree is 6 where as my code is showing 5. You

I have binary search tree code that inserts numbers randomly. I can modify size each time, but I want to modify the range of numbers, for example: I want the random number be just one digit or just 2 digits. How can I do that? public static void main( String[ ] args ) { BinarySearchTree bst = new BinarySearchTree( ); Random random = new Random( System.currentTimeMillis() ); int[] randoms = new int[1000]; Random randGen = new Random(); for(int i = 0; i < randoms.length; i++) { bst.insert( random.nextInt( randoms.length ) ); } System.out.println( "\n sorted :" ); bst.inorderTraversal( ); bst

# stack_depth is initialised to 0 def find_in_tree(node, find_condition, stack_depth): assert (stack_depth < max_stack_depth), 'Deeper than max depth' stack_depth += 1 result = [] if find_condition(node): result += [node] for child_node in node.children: result.extend(find_in_tree(child_node, find_condition, stack_depth)) return result I need help understanding this piece of code. The question i want to answer is The Python function above searches the contents of a balanced binary tree. If an upper limit of 1,000,000 nodes is assumed what should the max_stack_depth constant be set to? From

I need to fine the height of a binary search tree with a time of O(1) the only way i could think to do this is to put a check in the add and remove methods incrementing a global counter is there any other way? O(1) time suggests that you should already have the height when it is requested. The best way is it to keep/update the correct value whenever a new node is added/deleted . You are doing it in a right way , however it increases the complexity on addition and deletion. You can do it number of ways , like keep the depth value along with the node in tree etc. class Node{ int depth; Object