Build a Binary Search Tree with the given input order. You must show step by step process of inserting the inputs including both recursive calls and tree diagrams for each step. [ refer to the Insertitem function of Lecture 10 slides to get an idea of doing this.] N.B: Unique Input orders for each student to build the tree are given on a separate file. Write down the input order on your answer script before answering the question. You must use the assigned input order. Do not change the order. TREE INPUT: 4,1,9,3,2,5,6,8,7

Build a Binary Search Tree with the given input order. You must show step by step process of inserting the inputs including both recursive calls and tree diagrams for each step. [ refer to the Insertitem function of Lecture 10 slides to get an idea of doing this.] N.B: Unique Input orders for each student to build the tree are given on a separate file. Write down the input order on your answer script before answering the question. You must use the assigned input order. Do not change the order. TREE INPUT: 4,1,9,3,2,5,6,8,7

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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Provide an example of a recursive function in which the amount of work on each activation is constant. Provide the recurrence equation and the initial condition that counts the number of operations executed. Specify which operations you are counting and why they are the critical ones to count to assess its execution time. Draw the recursion tree for that function and determine the Big-Θ by determining a formula that counts the number of nodes in the tree as a function of n.
Answer the following questions using python and without using any of its libraries or OOP . a) Using the helper function insert (bst, key), create the binary search tree that results from inserting the following keys in the order given: 68, 88, 61, 89, 94, 50, 4, 76, 66, and 82. b) Using the helper function exist (bst, key), check whether key 50 exists in resultant Binary Search Tree. c) Using the helper function exist (bst, key), check whether key 49 exists in resultant Binary Search Tree. d) Using the helper function minimum (bst, starting_node), find the node with the minimum value in resultant Binary Search Tree from starting node = 68. e) Using the helper function minimum (bst, starting_node), find the node with the minimum value in resultant Binary Search Tree from starting node = 88. f) Using the helper function maximum (bst, starting_node), find the node with the maximum value in resultant Binary Search Tree from starting node = 68. g) Using the helper function maximum (bst,…
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The benefits of a binary search tree are readily apparent when contrasted with those of other data structures, such as a linked list or an array, respectively. What exactly are assemblers, then? Who or what exactly is a compiler? Who exactly does the translating?
When iterating over a hierarchical data structure, such as a tree,Group of answer choices 1. Iterating must be done recursively and it must start at the root, visiting each node once. 2. Iterating must start at the children, and must be done with recursion. 3. Iterating starts at the root but can continue depth first or breadth first, and must be done recursively. 4. Iterating must start at the root and it must traverse nodes exactly once.
It is easy to see why a binary search tree is superior to other data structures, such as a linked list or an array, due to the many benefits that it offers.Who or what are the assemblers? What exactly is the complier? Who or what exactly is an interpreter?
Write programs to do BFS and DFS traverse of the graph, based on the adjacent list structure. By using queue, implement the BFS algorithm and print the node sequence. By using recursive method, implement the DFS algorithm and print the node sequence. The source node of the traverse should be input by the user. BFS: DFS:
Create a programme that adds a set of keys to an initially empty BST in such a way that the resultant tree is equal to binary search in the sense that the comparisons made during the BST search match the compares conducted during binary search for the same set of keys.
Describe a strategy for keeping a binary search tree as short as possible. One example might be to unload all of the values and to reinsert them in a particular order. How long does your approach take to add a value?
Consider s = (((1) ∗ 2 + 3) ∗ 5 ∗ 6 + 7). 1. Give a derivation of the expression s. 2. Draw the tree structure of the expression s. 3. Trace out the execution of your program on GetExp(s, 1). In other words, draw a tree with a box for each time a routine is called. For each box, include only whether it is an expression, term, or factor and the string s[i], ... , s[j − 1] that is parsed.
Write programs to do BFS and DFS traverse of the graph, based on the adjacent list structure. By using queue, implement the BFS algorithm and print the node sequence. By using recursive method, implement the DFS algorithm and print the node sequence. The source node of the traverse should be input by the user.
When comparing a binary search tree to other data structures like a linked list or an array, its advantages become clear. So, what, then, are these assemblers? Just what kind of person or thing is a "compiler"? Who, precisely, performs all the translating?