Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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- Problem Description Using the binary search tree (BST) data structure, we can sort a sequence of n elements by first calling an insertion procedure for n times to maintain a BST, and then performing an INORDER-TREE-WALK on the BST to output the elements in sorted order. To insert a node, we've discussed the TREE-INSERT procedure in class (also from page 294 of the text- book). This TREE-INSERT procedure can actually be improved to reduce the number of key comparisons so that each node's key is compared with the new node's key for at most once during each insertion. For example, given the following BST, The improved insertion procedure will make • 2 comparisons to insert a node with key = 1 • 3 comparisons to insert a node with key = 3 • 2 comparisons to insert a node with key = 8 5. Program Requirements In this programming assignment, you will implement in Java this sorting algorithm using BST, by using the improved insertion procedure. Note that each node of a BST is an object…arrow_forwardIn a circular linked list, how can you determine if a given node is the last node in the list? Describe the approach you would take to solve this problem.arrow_forwardAssume that the nodes of the singly linked lists are arranged in decreasing order of the exponents of the variable x in order to add the two polynomials.The objective is to create a fresh list of nodes that represents the addition of P1 and P2. This is done by adding the COEFF fields of nodes in lists P1 and P2 that have identical powers of variable x, and then making a new node in the resulting list P1 + P2. The key part of the technique is shown below.The start pointers of the singly linked lists that correspond to the polynomials P1 and P2 are P1 and P2, respectively. Two temporary pointers, PTR1 and PTR2, are created with starting values of P1 and P2, respectively. Make procedural code.arrow_forward
- Consider the following set of data (the key is Name): CLASS Name Alan Course CSCI 23000 CSCI 24000 CSCI 24000 CSCI 23000 CSCI 23000 CSCI 54100 CSCI 54100 Year 2018 2018 2019 Bob Carl 2018 Мaгy Ed 2018 Zac Frank 2019 2019 Consider the B* tree index (shown below) for the information in CLASS (given above). Carl Mary Zac Alan Bob Carl Ed Frank Mary Zac a) Add “arrows" to the diagram (above) to show the important structural features of the B* organization. b) Comment technically on changes in the configuration of this B* tree after the addition of the key value “Brad" Be specific and technical as to what happens to the structure. Answer: c) Comment technically on changes in the configuration of this B* tree after the addition the key value “Dan" (Assume the general algorithm given in Comer's paper) Be specific and technical as to what happens to the structure. Answer:arrow_forward4. Write a recursive algorithm in pseudocode that finds the lowest common ancestor (LCA) of two given nodes in a binary tree T. The lowest common ancestor is defined between two nodes p and q as the lowest node in T that has both p and q as descendants (where we allow a node to be a descendant of itself). If either p or q is null, the LCA is null. For this problem, Nodes have left, right, and parent references as well as a field called level which stores the level of the node in the tree. In the sample tree below, node 5 is on level 0, while nodes 4 and 6 are on level 1. Write your solution here. 5 <- level 0 4 6 < level 1 function lowest_common_ancestor (Node P, Node q)arrow_forwardhow to Traversing a Binary Search Tree. To demonstrate how this method works, implement a program that inserts a series of numbers into a BST.as given in figure.arrow_forward
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