For every node p in a binary search tree, with a key-value pair of (k, v), all of the following are true EXCEPT: The node p, as the root of the heap, has the lowest value k Keys stored in the left subtree are less than k Key stored in right subtree are greater than k Leaves of the tree serve only as "placeholders"

For every node p in a binary search tree, with a key-value pair of (k, v), all of the following are true EXCEPT: The node p, as the root of the heap, has the lowest value k Keys stored in the left subtree are less than k Key stored in right subtree are greater than k Leaves of the tree serve only as "placeholders"

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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TREE C: 1. Is tree Ca binary search tree? 2. If tree C is a binary search tree, is it balanced or skewed? If it is not a binary search tree, why not?
= Suppose that we have a B and the size of the search key field V is equal to 10 bytes, the size of the data (record) pointer Pr 6 bytes, and the tree (block) pointer P is 5 bytes and the value of p (the order or the maximum number of a tree pointers in a node) is equal to 20 for an internal node. a) Calculate the block size (B) b) Suppose that we have a B- tree instead of B and based on the block size found in question (a), calculate the order (p) for an internal node in this case.
Question 6 In a binary search tree, if a node has a value n, all of the values in its left subtree: O are less than n O are always a queue O are negative O have no relationship to n
Please show steps clearly
When deleting a node from a binary-search tree, if the node to be deleted has only one child, the node is deleted and (select one of the option below) O replaced with the left-most leaf node of its child subtree O replaced with the nullptr O None of these O replaced with its child node O replaced with the right-most leaf node of its child subtree.
In the worst-case situation, binary tree sort using a self-balancing binary search tree requires O(n log n) time, which is slower than merge sort.