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vichka [17]
2 years ago
11

Arrange the code so that the numbers are swapped.

Computers and Technology
1 answer:
Ahat [919]2 years ago
5 0
Rand.int(your_num , your_num
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Change the quick style gallery display
OverLord2011 [107]

Answer:

wdym?

Explanation:

5 0
2 years ago
Suppose you have a program P and 90 percent of P can be parallelized, but 10 percent of P is inherently sequential and cannot be
EleoNora [17]

Answer:

Means no matter how many processors you use, speed up never increase from 10 times.

Explanation:

If a problem of size W has a serial component Ws,then performance using parallelism:

Using Amdahl's Law:

Tp = (W - Ws )/ N + Ws

Here, Ws = .1,

W - Ws = .9

Performance Tp = (.9 / N) + .1

---------------------------------------------------------

Speed Up = 1 / ( (.9 / N) + .1)

If N -> infinity, Speed Up <= 10

Means no matter how many processors you use, speed up never increase from 10 times.

5 0
3 years ago
4
kupik [55]

Answer:

the answer is D Smart Object

5 0
3 years ago
Read 2 more answers
How do you get a code in C to count down from 5??
Valentin [98]

Answer:

This is what the code should do:

“Lift off in T minus

5

4

3

2

1

Blast-off!”

When I run it, it just keeps printing ''Sum = 5'' forever.

Explanation:

Code:

int main(void) {

int sum = 5;  

int i;      

printf("Lift off in T minus\n");

for (i = 0; i < 5; i=i+i) {

   sum = sum - i;  

   printf("sum = %d\n",sum);  

}  

printf("Blast-off",sum);  

return 0;

5 0
3 years ago
Collaborative filtering is
vazorg [7]

Answer:

A: used by ISP's to filter out email SPAM

C: a way to help an individual focus on best choices when deciding what to watch or buy.

Explanation:

Collaborative filtering uses a community-based approach to filter spam. It works by collecting numerous email users from around the world. By doing this, it becomes possible for users to flag emails that are spam and those that are legitimate.

Also Collaborative Filtering is one of the most efficient techniques for building a system that can help a user when it comes to recommending best choices based on information from a large number of users.

4 0
3 years ago
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