(5) 3. Diagram a binary search tree created by adding keys to the tree in the following order: Melon, Pineapple, Banana, Apple, Orange, Guava, Pear, Cherry.
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- 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…F B G A Select one or more: □ A. (i) only H D J K (L Consider the following five statements. (i)It is a tree. (ii)It is a binary tree. (iii)It is an AVL tree. (iv)It is a binary search tree. (v)It is a strictly binary tree. Which of the above statements is correct with respect to the above tree? B. (i) and (ii) only □C. (i), (ii) and (iii) only D. (i), (ii) and (iv) only □E. (i), (ii), (iii), (iv) and (v) E Ma. Explain the concept of a binary search tree - b. Insert 15,18,21, 29, 40 and 95 in the BST below and draw the BST new BST 27 14 35 10 19 31 42 c. Delete 14, and 35 from your tree in "b" above and draw the new BST d. Explain how you achieved your results in both “b and c" above
- 1. A Binary Search Tree (BST) is a binary tree where each node contains a value from a well-ordered set. (a) Draw a BST for each of the following set of data: i. 20, 30, 45, 31, 19, 15, 18, 13, 50, 21 i. М, О, R, T, С, F, E, A, S, N, QWrite a lisp program to check whether a binary tree is a Binary Search Tree. A Binary Search Tree (BST) is a tree in which all the nodes follow the below-mentioned properties: • The left sub-tree of a node has a key less than or equal to its parent node's key. The right sub-tree of a node has a key greater than to its parent node's key. ● 10 14 Example of a binary search tree A list can be used to represent the structure of a binary tree as follow: '(8 (3 (1 () ()) (6 (4 () ())( 7 () ()))) (10 (()) (14 (13) ())))Exercise #1 • If you insert 24, 79 and 69 respectively into the following binary search tree what tree do you get 60 (40 (70 25 65) (80 If you delete 40 from the following binary search tree what tree do you get 40 60 (10) 8. (25 55 (70 30 VI Sa Ja
- 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…Write 5 functions in C++ for a binary search tree. DeleteAll() deletes all the nodes in the binary tree recurively. findNode(int item) //finds the node in the tree ITERATIVELY. countNonLeaves() takes a binary tree and counts the number of nodes that are not leaves in the given Binary Tree. OneChild() Calculate the number of nodes that have only one child in a given Binary Tree. findRange() return the range value of a Binary Search Tree. [ max(BST), min(BST) ] where max is the maximum value of the BST and min is theminimum value of the given BST. All of these functions should be called in the main and tested. Thank you.Exercise #1 If you insert 42, 62 and 82 respectively into the following binary search tree what tree do you get 60 (40 (70 (25 65 (80
- Implement the Binary Tree data structure for string data with all of its associated operations. Apply it for the following applications 1. Store 10 names of cities of Pakistan. 2. Search name of a city in tree. 3. Remove 3 names. 4. Add 2 names of any other cities, besides already used. 5. Search for newly added cities. Subject: Data Structure Algorithm ( Language C++)29. A binary search tree where each node has either 0 or 1 subtrees is said to be a. Perfect b. Balanced c. Degenerate d. Complete 30. A binary search tree where the nodes at all levels except the lowest are filled, and at the lowest level, the values are filled from left to right is said to be a. Perfect b. Balanced c. Degenerate d. Complete 31. logic_error, runtime_error, syntax_error and bad_cast are all examples of standard C++ exceptions. a. True b. False 32. All standard exceptions in C++ are derived from the exception class. a. True b. False 33. User defined exception classes can be created by deriving the class from the exception class and overriding the "error_message" function. a. True b. False 34. A data structure where elements are processed in the same order in which they are added to the container is known as a a. Stack b. Queue c. Linked list d. Deque 35. A data structure where elements are processed in the opposite order in which they are added to the container is known…1) Create a binary tree for the sequence of letters: D A T S R U C E I M P O N and another for letters: 2) Create all binary trees templates (structures) with a size of 4 (identify how many are distinct) 3) Create a binary tree for the sequence of letters: S E A R C H B I N Y T U L D. Draw the tree. Search for D (show on the tree which nodes were visited). Search for M (show on the tree which nodes were visited). 4)Create a binary tree for the sequence of letters: D E L T K Y N S A R C H. Draw the tree. Delete the key A (show the tree obtained). Delete the key L (show the tree obtained). Delete the key E (show the tree obtained).