Answer:
public class Main
{
public static void main(String[] args) {
System.out.println(min(3, -2, 7));
}
public static int min(int n1, int n2, int n3){
int smallest = Math.min(Math.min(n1, n2), n3);
return smallest;
}
}
Explanation:
*The code is in Java.
Create a method named min that takes three parameters, n1, n2, and n3
Inside the method:
Call the method Math.min() to find the smallest among n1 and n2. Then, pass the result of this method to Math.min() again with n3 to find the min among three of them and return it. Note that Math.min() returns the smallest number among two parameters.
In the main:
Call the method with parameters given in the example and print the result
Answer:
Sequential
Explanation:
Based on the information provided within the question it can be said that the search algorithm that is being described in this scenario is a Sequential algorithm. This is because sequential programming focuses on programming (or in this case searching for) a result by doing one step at a time as opposed to various functions running simultaneously.
Hello,
Answer: In 1965, Gordon Moore noticed that the number of transistors per square inch on integrated circuits had doubled every year since their invention. Moore's law predicts that this trend will continue into the foreseeable future. ... The 18-month mark is the current definition of Moore's law.
Please read and you will have your answer!
If you did not love this answer let me know and I will try again.
Answer:
The answer is C. 85
Explanation:
The int() function is usually used to turn a float, to an int<em>.</em> When you use the int() function, it just cuts of everything past the decimal. It doesn't round the float. Leaving you with the option C. 85
hope this helped you :D
A Network is definitely a Tree when any of the below properties matched.
Explanation:
A Network is synonym for connected graph. Connected graph is a graph is a path which will connect from vertex to vertex.
A Tree is a network that has no circuit. network can be differed from tree by three key properties
1. Single path property - one path connecting two vertices
2. All bridges property - every edge of a network is a bridge
3. N-1 edges property - N vertices has N-1 edges
To determine this we use to N-1 edges property as given number of vertices and no bridges.
If a network has 15 vertices it must have 15-1= 14 edges to become a tree
