Select ALL the valid binary search trees (BSTs) from the following. root122571831321root221512 Select ALL the valid binary search trees (BSTS) from the following.root2215122root132521831221

In Binary Search Tree: The left subtree of a node will contain only nodes with keys lesser than the…

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Select ALL the valid binary search trees (BSTS) from the following. root 22 15 12 2 root 13 25 2 18 3 12 21

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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List, BST (binary search trees), and AVL all have different search time problems; explain how they get their results.
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Create a binary linked tree, and traverse the tree by using the recursive function. The structure of the tree is as follow: You should input the nodes in pre-order sequence. If a child of a node is NULL, input a space. Write the function of create binary tree, pre-order to print the nodes, in-order to print the nodes and post-order to print the nodes. Count the height of the tree. Header file typedef char ElemType; typedef struct node//define the type of binary tree node { }BTnode; Source file #include <stdio.h> #include <stdlib.h> #include "tree.h" BTnode * createTree()//create the binary tree，return the root { BTnode *tnode;// tnode is the root char elem; ;//input the character //if the input is a space，set the pointer as NULL Else// if the input is not a space，generate the binary node and create its left sub-tree and right…
python: In a binary search tree, write another way of function that takes in a root, p, and checks whether the tree rooted in p is a binary search tree or not. What is the time complexity of your function? def is_bst(self, p): root=p def helper(root, l, r): if not root: return True if not (left<root.val and root.val<right): return False return helper(root.l, l, root.val) and helper(root.r, root.val, r) return helper(root, float('-inf'), float('inf'))
JavaScript: Search the Tree A binary search tree is a data structure that consists of JavaScript objects called "nodes". A tree always has a root node which holds its own integer valueproperty and can have up to two child nodes (or leaf nodes), a left and right attribute. A leaf node holds a value attribute and, likewise, a left and rightattribute each potentially pointing to another node in the binary tree. Think of it as a Javascript object with potentially more sub-objects referenced by the left and right attributes (as seen in assignment 4). There are certain rules that apply to a binary tree: A node's left leaf node has a value that is <= than to its own value A node's right leaf node has a value that is => its own value In other words: let node = {value: <some number>left: <a node object with value attribute <= this object's value>right: <a node object with value attribute >= this object's value>} If you need a visual aid, below is an example of…
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Given the following keys T, Y, V, Q, F, B, M. N, W, G, C, A, P, R, L. 1. Assuming the keys are inputted in that order, build a binary search tree according to the input: 2. Use an array to implement the tree you built and show the contents of the array: 3. Assuming the keys are all available at once and you can change the order if necessary, build a balanced binary search tree: