D. Time
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A data structure called a binary search tree makes it simple to keep track of a sorted list of numbers.
<h3>What is a binary search tree?</h3>
A binary search tree, also known as an ordered binary tree or a sorted binary tree in computer science, is a rooted binary tree data structure where each internal node's key is higher than all the keys in its left subtree and less than all the keys in its right subtree.
A data structure called a binary search tree makes it simple to keep track of a sorted list of numbers. Because each tree node has a maximum of two offspring, it is known as a binary tree. It can be used to search for the presence of a number in O(log(n)) time.
A binary search tree (BST) is a specific type of binary tree in which every node has a comparable key and a connected or associated value.
To learn more about binary search trees refer to:
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2^(32-20) - one for the network number - one for the broadcast address = 4,094
Create a partition using the Disk Management program and format the hard drive.
The first point will allow the hard drive to be put to use, and the second point will clear the hard drive completely so it's ready for use.
Pseudocode algorithms are used as prototypes of an actual program.
The required pseudocode algorithm is as follows:
- <em>Start</em>
- <em>input name, score, test_worth</em>
- <em>percent_score = score/test_worth * 100</em>
- <em>print name, percent_score</em>
- <em>Stop</em>
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The first line begins the pseudocode algorithm
<em>Start</em>
The second line gets input for the student's name, score and the worth of the test
<em>input name, score, test_worth</em>
The third line calculates the percentage score
<em>percent_score = score/test_worth * 100</em>
The next line prints the student's name and the percentage score
<em>print name, percent_score</em>
The last line ends the pseudocode
<em>Stop</em>
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Read more about pseudocode algorithms at:
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