Answer:
You can easily crash into something duh
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.
Answer:
The code will display the following on the screen:-
2
0
2
Explanation:
The output is like this because x{2} assigns the value 2 to the integer x.First the value of x is printed on the screen that is 2 and that newline is used to go to the next line.After that function is called doSomething with x passed as the argument. doSomething function assigns the value zero to the variable passed and prints it on the screen.So the next line is 0.Since x is passed by value so no changes will appear in the original argument.Hence the last line printed is 2.
Question:
Write one for loop to print out each element of the list several_things. Then, write another for loop to print out the TYPE of each element of the list several_things.
Answer:
The solution in python is as follows:
for element in several_things:
print(element)
for element in several_things:
print(type(element))
Explanation:
The solution assumes that the list several_things has already been initialized.
So, the rest of the code is explained as follows:
This line iterates through the list, several_things
for element in several_things:
This line prints each element
print(element)
This line iterates through the list, several_things for the second time
for element in several_things:
This line prints the type of each element
print(type(element))
Collaborative software or groupware.
