Answer:
Programmers can take advantage of abstraction to focus on specific tasks.
Explanation:
When we excel in some subjects, we can do abstraction in that subject. Abstraction means you understand by the term, and you do not need details of that term. Like you say some tasks will be done by a graphic designer as a project manager, and you do not need to understand at that point what he will be doing, and that is because you can write in a word or few what is going to be the outcome. And hence, the programmers can take advantage of abstraction to focus on specific tasks. And this is the correct option.
JAVA programming was employed...
What we have so far:
* Two 2x3 (2 rows and 3 columns) arrays. x1[i][j] (first 2x3 array) and x2[i][j] (second 2x3 array) .
* Let i = row and j = coulumn.
* A boolean vaiable, x1rules
Solution:
for(int i=0; i<2; i++)
{
for(int j=0; j<3; j++)
{
x1[i][j] = num.nextInt();
}
}// End of Array 1, x1.
for(int i=0; i<2; i++)
{
for(int j=0; j<3; j++)
{
x2[i][j] = num.nextInt();
}
}//End of Array 2, x2
This should check if all the elements in x1 is greater than x2:
x1rules = false;
if(x1[0][0]>x2[0][0] && x1[0][1]>x2[0][1] && x1[0][2]>x2[0][2] && x1[1][0]>x2[1][0] && x1[1][1]>x2[1][1] && x1[1][2]>x2[1][2])
{
x1rules = true;
system.out.print(x1rules);
}
else
{
system.out.print(x1rules);
}//Conditional Statement
Answer:
001*|1*00
Explanation:
The language consists of strings in {0,1} that either start with 00 or end with 00 and have no more zeros.
The requirement can be divided into two parts:
1) Strings that start with 00 and have no more zeros
2) Strings that end with 00 and have no more zeros
Generating regular expressions for these parts:
1) 001* - starts with two zeros and can have zero or more 1s later
2)1*00 - starts with zero or more 1s and ends with two zeros
So on combining with the or operator(|), the overall regular expression for the strings in the language becomes:
001*|1*00
Answer:
d. expert system
Explanation:
Among the types of systems that support the decision-making process, the following are identical:
Decision Support Systems (DSS: Decision Support Systems)
Support decision making by generating and systematically evaluating different alternatives or decision scenarios.
A DSS does not solve problems, since it only supports the decision-making process. The responsibility of making a decision, of adopting and making it is the responsibility of the administrators, not of the DSS. It can be used to obtain information that reveals the key elements of the problems and the relationships between them. It can also be used to identify, create and communicate available courses of action and decision alternatives.
Support Systems for Group Decision Making (Group Decision Support Systems). They cover the objective of achieving the participation of a group of people during decision-making in anonymous and consensus environments, supporting simultaneous decisions.
Expert Support Systems for Decision Making (DEss: Expert Decision Supprt Systems). They allow to load knowledge bases that are integrated by a series of common sense rules so that different users consult them, support decision making, training.
