Define the difference between Binary Search Trees and Nodes?
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In DrRacket:
Define the difference between Binary Search Trees and Nodes?
A) A Binary Search Tree is a Node, but a Node isn’t always a Binary Search Tree.
B) A Node is a Binary Search Tree, but a Binary Search Tree isn’t always a Node.
C) Binary Search Trees may contain Nodes, but Nodes cannot contain Binary Search Trees.
D) Nodes may contain Binary Search Trees, but Binary Search Trees cannot contain Nodes.
E) They are the same thing
A node is a basic unit of data structure in building a tree or a graph.
Binary search tree is a data structure that is sorted and each node can have a maximum of two nodes.
A binary search tree is a collection of nodes and node is the basic data structure
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- i need a code using python pleasejava binary tree: Given the following binary search tree, what would be the sequence of nodes, if traversed using inorder traversal after deleting 8.*Please using JAVA only* Objective Program 3: Binary Search Tree Program The primary objective of this program is to learn to implement binary search trees and to combine their functionalities with linked lists. Program Description In a multiplayer game, players' avatars are placed in a large game scene, and each avatar has its information in the game. Write a program to manage players' information in a multiplayer game using a Binary Search (BS) tree for a multiplayer game. A node in the BS tree represents each player. Each player should have an ID number, avatar name, and stamina level. The players will be arranged in the BS tree based on their ID numbers. If there is only one player in the game scene, it is represented by one node (root) in the tree. Once another player enters the game scene, a new node will be created and inserted in the BS tree based on the player ID number. Players during the gameplay will receive hits that reduce their stamina. If the players lose…
- Program 3: Binary Search Tree Program Objective The primary objective of this program is to learn to implement binary search trees and to combine their functionalities with linked lists. Program Description In a multiplayer game, players' avatars are placed in a large game scene, and each avatar has its information in the game. Write a program to manage players' information in a multiplayer game using a Binary Search (BS) tree for a multiplayer game. A node in the BS tree represents each player. Each player should have an ID number, avatar name, and stamina level. The players will be arranged in the BS tree based on their ID numbers. If there is only one player in the game scene, it is represented by one node (root) in the tree. Once another player enters the game scene, a new node will be created and inserted in the BS tree based on the player ID number. Players during the gameplay will receive hits that reduce their stamina. If the players lose all their stamina, they vanish from the…One can easily see the benefits of a binary search tree when comparing it to other data structures like a linked list or an array.Programming questions:typedef struct node { int data; struct node *left, *right;}BT;The node structure of the binary tree (BT) is shown above. There is a binary tree T, please complete the function: int degreeone(BT *T) to compute how many degree 1 node in the BT. The T is the root pointer, and the function shoule return the total number of degree 1 node.
- 1. Stack 2. Queue 3. Singly-linked list 4. Binary search tree 5. AVL tree 6. Priority queue 7. Hash table Can be used as an auxiliary data structure for expression evaluation with a binary tree. Often implemented with complete binary trees satisfying a partial order property. Data is not ordered, but insertion and search are expected to take O(1) time. Data is fully ordered, insertion, removal and search are guaranteed to be less than O(n) time.Instructions. c++ binary search trees. 1. Implement a function that will build a binary search tree. 2. Using the function above create a binary search tree. 3. Implement a swapSubtrees() function that will take a pointer to a root node and a target value. Function will search for the target value in the tree and swap all left nodes with right nodes for all descendant nodes. 4. Pass the tree created in step 2 to test swapSubtrees() function. 5. You can use the inorder, postorder or preorder traversal implemented in class to display and confirm the logic. (trace it by hand as well) TreeNode{ int val; TreeNode* left = nullptr; TreeNode* right = nullptr; TreeNode(){} TreeNode(int val): val(val){} };Binary Search Tree Empirical and Theoretical ResultsPart 1: we need to define a binary search tree data structure. Also, we need to implement the following functions:1. Insert Sorted: BSTREE insert(BSTREE root, int num): root points to a node in a binary search tree; num is a number to be inserted in the tree rooted at “root”. This function returns the root of the modified tree.2. Print Elements: void inorder traversal(BSTREE root, FILE *fp): root points to a node in a binary search tree. This function does not return anything, but prints out, to the file specified, the nodes in the tree rooted at “root” by performing an inorder traversal. Part 2: Test the performance of the designed data structure using theoretical and experimental approaches as follows:1. Dataset 1-Dataset is sorted- Add code to insert the numbers 1...n in that order in an initially empty doubly linked list and a binary search tree.a. Run it on different values of n where :i. n = 20,000ii. n = 50,000iii. n =…
- Instructions. c++ binary search trees. 1. Implement a function that will build a binary search tree. 2. Using the function below create a binary search tree. 3. Implement a swapSubtrees() function that will take a pointer to a root node and a target value. Function will search for the target value in the tree and swap all left nodes with right nodes for all descendant nodes. 4. Pass the tree created in step 2 to test swapSubtrees() function. TreeNode{ int val; TreeNode* left = nullptr; TreeNode* right = nullptr; TreeNode(){} TreeNode(int val): val(val){} };Alert dont submit AI generated answer. Define a Binary Search Tree. Explain the advantage of a Binary Search Tree data structure. Create a Binary Search Tree (visually the way we did in the class) on the following input data. Show the status of the values during each step. NOTE: You have to describe the condition(s) used and the steps justifying the task of placing the value at a location. 34, 21, 43, 19, 20, 39, 19, 52Find the errors in the program then correct them. CODE: #include <bits/stdc++.h>using namespace std; /* A binary tree node has key, pointer to leftchild and a pointer to right child */struct Node { int key; struct Node *left, *right}; /* function to create a new node of tree andreturn pointer */struct Node* newNode(int key){ struct Node* temp = new node; temp->key = key; temp->left = temp->right = NULL; return temp;}; /* Inorder traversal of a binary tree*/void inorder(struct Node* temp){ if (!temp) return 0 inorder(temp->left); cout << temp->key << " "; inorder(temp->right)} /* function to delete the given deepest node(d_node) in binary tree */void deletDeepest(struct Node* root, struct Node* d_node){ queue<struct Node*> q q.push(root); // Do level order traversal until last node struct Node* temp; while (!q.empty()) { temp = q.front(); q.pop(); if (temp…