Answer:
OD Check for Internet issues
Answer:
Quick sort and Merge sort supports parallelism
Explanation:
When we talk about parallelism, we are referring to the idea of breaking down a problem into a number of many subproblems after which we combine the solutions of these subproblems into a single solution. Here we allocate these subtasks to the multicore processors where each core gets assigned each of the subtasks are assigned to a core according to its ability or functionality. After each of the core are through with its evaluation, all their results are collated and combined to come up with a full rounded and complete solution to the given problem.
If we take a look at sorting algorithms such as selection sort, bubble sort and insertion sort, we will find out that these algorithms cant be simulated on a multicore processor efficiently because they are sequential algorithms.
On the other hand, we have sorting algorithms that can easily be simulated in a multicore processor since they can divide the given problem into subproblems to solve after which the solutions can be combined together to arrive at or come up with a complete solution to the problem. This algorithms includes Quick sort and Merge sort, they make use of Divide and Conquer paradigm.
The answer is d. Two
Two variables referring to the same array object
Answer:
The solution code is written in Python 3
- total = 0
- count = 0
- neg = 0
- pos = 0
-
- num = int(input("Enter an integer: "))
-
- while(num != 0):
- total += num
- count += 1
-
- if(num < 0):
- neg += 1
- else:
- pos += 1
-
- num = int(input("Enter an integer: "))
-
-
- print("The number of positives: " + str(pos))
- print("The number of negatives: " + str(neg))
- print("The total is " + str(total))
- print("The average is " + str(total/count))
Explanation:
Firstly, we create four variables, <em>total</em> , <em>count,</em> <em>neg</em> and <em>pos </em>(Line 1- 4). This is to prepare the variable to hold the value of summation of input integer (<em>total</em>), total number of input number (<em>count</em>), total negatives (<em>neg</em>) and total positives (<em>pos</em>).
Next, we prompt user for the first integer (Line 6).
Create a sentinel while loop and set the condition so long as the current input number, <em>num</em> is not equal to zero. the program will just keep adding the current <em>num</em> to total (Line 9) and increment the count by one (Line 10).
if <em>num</em> smaller than zero, increment the <em>neg</em> by one (Line 13) else increment the <em>pos </em>by one (Line 15). This is to track the total number of positives and negatives.
Finally, we can display all the required output (Line 20 - 23) using the Python built-in function <em>print()</em> when user enter 0 to terminate the while loop. The output shall be as follows:
The number of positives: 3
The number of negatives: 1
The total is 5
The average is 1.25
