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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:
review session notes from the previous session, and decide how to proceed with the current session
Explanation:
RBTs are registered behaviour technicians who could also function as Adaptive behavior assessment professionals. RBTs often help their clients increase their skill level. This is done through the application of the skill acquisition plan. The skill acquisition plan includes such things as the : skill deficit, goal to tackle deficit, data measurement systems etc. In order to have a successful session, RBTs should check and review session notes for previous exercise and from there plan how to proceed with new session.