Answer:
See in Explanation
Explanation:
All you know is that an 
algorithm is eventually (a lot) faster than an 
algorithm, but for any specific value of n, you can't say anything. Indeed, the asymptotic growth of the function doesn't depend on its value on 
. This means that if 
then for all 
, the following function is also :
So asymptotic notation is completely uninformative regarding the performance of algorithms on specific values of n.
You could say that functions such as 
are artificial and never really occur in practice. This is not quite true (you can hard-code some auxiliary information for small n, for example), but even if you consider "natural" functions, asymptotic notation doesn't help you to determine anything other than asymptotic's: consider for example 
against 
(such examples definitely happen in practice, for example in fast matrix multiplication).
If you are referencing cell (C2)in Excel and want to be able to copy the formula and keep using the data in cell C2 in every place you copy it to, the way to reference the cell? is known to be $C$2.
<h3>What is a cell reference in Excel?</h3>
A cell reference is known to be called a cell address and this is seen as a make up of a column letter and also those of row number that tells a cell on a worksheet.
Hence, If you are referencing cell (C2)in Excel and want to be able to copy the formula and keep using the data in cell C2 in every place you copy it to, the way to reference the cell? is known to be $C$2.
Learn more about cell referencing from
brainly.com/question/19035038
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This question is incomplete. The complete question is given below:
Your company has just brought a new 22-core processor, and you have been tasked with optimizing your software for this processor. You will run four applications on this system, but the resource requirements are not equal. Assume the system and application characteristics listed in table 1.1
Table 1.1 Four Applications
Application
A
B
C
D
% resources needed
41
27
18
14
% parallelizable
50
80
60
90
The percentage of resources of assuming they are all run in serial. Assume that when you parallelize a portion of the program by X, the speedup for that portion is X.
a. How much speedup would result from running application A on the entire 22-core processor, as compared to running it serially?
Answer:
Speedup = 50
Explanation:
- The speedup for that portion is x if we parallelize a portion of that program by X.
- If the whole program has no parallelize portion or in other words the whole program is running serially then the speedup will be zero.
- So in this scenario if parallelizable portion of A is 50% so according to above description the speedup is 50.
