85. How does a B-tree (Ilike a 2-3 tree) differ from an AVL or Red-Black tree? O A. A B-tree is a "fat" self-balancing tree data structure that makes node accesses more productive. O B. B-Trees maintains balance by building from the root down. O C. B-Trees require all nodes to fit in main memory. O D. B-Trees require more disk accesses because nodes may contain more than one key. O E. Insertion in a B-Tree is always in an internal node but may be at any level.

85. How does a B-tree (Ilike a 2-3 tree) differ from an AVL or Red-Black tree? O A. A B-tree is a "fat" self-balancing tree data structure that makes node accesses more productive. O B. B-Trees maintains balance by building from the root down. O C. B-Trees require all nodes to fit in main memory. O D. B-Trees require more disk accesses because nodes may contain more than one key. O E. Insertion in a B-Tree is always in an internal node but may be at any level.

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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a) Consider a B+ tree with nodes up to 4 keys containing 5 pointers. Assume the left order is for < and the right order is for >=. Use Bulk-loading to create a B+ tree with values 46, 10, 49, 23, 40, 59, 29, 34, 54, 75, 30. Show the final tree only. b) Insert 24,80 to the tree result of part a c) Insert 35 to the tree result of part b
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QUESTION ١ Start with an empty B-tree, draw a B-tree of order 3 created by inserting integer 1 through 15. Start with an empty B-tree, draw a B-tree of order 5 created by inserting integer 1 through 15. Remove the numbers 12 and 4 from the B-tree created in previous question in question a and b. Discuss analysis of B-tree looking at the number order and height of B-tree. Refer to the B-trees that you created in Question a and b. e. Discuss the main different between B-tree and binary search tree
Consider the BiNode data structure, which contains references to two additional nodes. BiNode is a data structure that can represent both a binary tree (where node1 is the left node and node2 is the right node) and a doubly linked list (where node1 is the previous node and node2 is the next node). Create a method for converting a binary search tree (created using BiNode) into a doubly linked list. The values must be preserved in order, and the action must be done in situ (that is, on the original data structure).
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I need help in this question of Data Structure and Algorithms 1) Fill in the blanks a) Consider an AVL tree of height 0 with the smallest number of nodes possible. How many nodes this treehave? b) Consider an AVL tree of height 1 with the smallest number of nodes possible. How many nodes this treehave? c) Consider an AVL tree of height 2 with the smallest number of nodes possible. How many nodes this treehave? d) Consider an AVL tree of height 3 with the smallest number of nodes possible. How many nodes this treehave?
Problem 1: Answer the following problems. For each problem, start with the B+-tree in Figure 1. Figure 1 is attached (a) Show the tree that would result from inserting 7 into the tree in Figure 1. When a node is split into two nodes, ensure that the right node has no more keys/pointers than the left node. You may omit the parts of the tree that do not change. (b) Show the tree that would result from deleting 10 from the tree in Figure 1. When node merging or redistribution is needed, if both the left and right sibling nodes are available, use the left sibling node. You may omit the parts of the tree that do not change. (c) Draw the tree that would result from deleting 27 from the tree in Figure 1. If a node requiring merging/redistribution has both left and right sibling nodes, use the left sibling node for merging/redistribution. You may omit the parts of the tree that do not change. (d) Show the tree that would result from deleting 32, 39, 41, 45, and 73 from the tree in Figure 1 (no…