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).
Answer:
S and R both are 0
Explanation:
A <em>0</em> at the input of a NAND gate causes its output to be <em>1</em>. There is no other logic between the output NAND gate and the S or R inputs, so both inputs 0 will make both outputs 1.
Answer: 3 bytes
Explanation:
A Pixel uses 3 colors and each of these colors uses 8 bits to store their intensity.
One pixel will therefore have:
= 8 * 3
= 24 bits
1 byte = 8 bits
24 bits will therefore be:
= 24/8
= 3 bytes
A string for sure, so answer B.
Answer:
It can help kids with stimulation and it can also help them learn more. also in case of an emergency, kids will be able to reach the authorities easier
