Answer:
Explanation:
Both mathematics and computer science use variables and logic in order to analyze, explain, and model real-world problems. Also mathematics is a very important part of computer science as the logic and algorithms in computer science require mathematics in order to device systems to solve these problems. For example, data structures in computer science require lots of linear algebra in order to traverse large data collections efficiently, while Artificial Intelligence would need calculus and linear algebra in order for it to be efficient.
There are different kinds of software implementation strategy. The software implementation strategy would you recommend in this situation to allow users fall-back access to the old system as the new one is implemented is parallel start up.
- Parallel running often called parallel start up strategy for system changeover where a new system slowly takes over the roles of the older system even when both systems operate.
This conversion often occur when the technology of the old system is outdated and as such a new system is needed to be installed to replace the old one.
The parallel running phase is the act of changing a fragment of business information technology operation to a new system.
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Answer:
function sum(number) {
if (number == 1) {
return 1;
}
return number + sum(number -1);
}
Explanation:
This is a recursive function, it means that is a function that calls itself for example: if you call the function with sum(5) the process is :
sum(5)
|______ 5 + sum(4)
|_______ 4 + sum(3)
|______ 3 + sum(2)
|_____2 + sum(1)
|_____ 1
the result is 1+2+3+4+5 = 15
Answer:
a) Global
Explanation:
The scope of a variable declared outside of any function is Global.
Let us consider an example:
int g;
int add(int a,int b){
return a+b;
}
int subtract(int a,int b){
return a-b;
}
Here the variable g is defined outside any function and is accessible anywhere within the program. This is a global variable.
Variables defined within each function - a,b on the other hand have a local scope are are visible only within their respective function bodies.
