<em><u>Answer:</u></em>
x = -1/3
<em><u>Explanation:</u></em>
3^(x + 1) = 9^(2x + 1); So we should first make 9^(2x + 1) a power of 3 so:
3^(x + 1) = 3^2(2x + 1) <-- I replaced 9 with 3^2 so then we have to multiply 2 by 2x + 1
3^(x + 1) = 3^(4x + 2)
We can then just create the equation: x + 1 = 4x + 2 (because the 3^ doesn't matter and we just want them to be equal so yeah)
We then have to simplify:
x + 1 = 4x + 2
Subtract x from both sides:
1 = 3x + 2
Subtract 2 from both sides:
-1 = 3x
Divide 3 on both sides:
-1/3 = x
There ya go
I hope this helped you! <3
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 benefits are that you don't have to worry if something breaks from like a water leake or a storm and get destroyed the home owners have to pay
I think it's called shadowing, or job shadowing to be more specific.
