Answer:
A Red Black Tree is a type of self-balancing(BST) in this tree ,each node is red or black colored. The red black tree meets all the properties of the binary search tree, but some additional properties have been added to a Red Black Tree.
A Red-Black tree's height is O(Logn) where (n is the tree's amount of nodes).
In a red-black tree with black height k
The maximum number of internal nodes is
.
The smallest possible number is
.
Answer:
Yes, this statement is completely true
Explanation:
Yes, this statement is completely true. A personal computer is a multimedia machine and can be used to complete an incredibly large number of tasks with ease. Such tasks include all of the ones listed in the question. Aside from that other tasks depend more on the skill level and understanding of the user. For example, an individual who has a vast understanding of technology and programming can create software to perform absolutely any task they may want or need to do.
Deleting a character when you make a mistake and the print it without errors
Answer:
Explanation:
With an anti-virus, we can search, detect, and delete malware like spyware, worms, Trojans, rootkits, pseudoviruses, etc.
An anti-virus can detect virus with several methods like:
- Digital signature
- Heuristic detection
- Behavior detection
- Sandbox detection
Is necessary for personal laptops and desktops, even in companies hardware.
Answer:
Bayesian filtering
Explanation:
This is a type of filtering software that makes use of Bayesian logic to evaluate every incoming email that you receive, analyzing the header and content of the email to determinate if it is spam or not. It uses a preset of common words that are present in most spam emails, and it categorizes all received emails according to their probability to contain spam in trusted, or not trusted email. These categories are usually set by the user.
In short, Bayesian logic uses the knowledge acquired from past events to try to predict future events. Determinate the probability of success (from 0 to 100%) of a certain activity, according to the result of prior tests. It was first suggested in 1763 after the death of its creator Thomas Bayes, and it is widely spread across several different sciences such as programming, artificial intelligence, physics, etc.