Analyzing an algorithm with Big O notation is useful for predicting
A. the accuracy of the computation
B. the time required to write the required code
C. the performance of the algorithm as different amounts of inputs are processed
D. Both A and C

C. the performance of the algorithm as different amounts of inputs are processed

Explanation:

During the classification of algorithms, the Big O notation can be used to classify these algorithms according to how their run time or space requirements grow as the input size grows. It is quite useful when we only have upper bound on time complexity of an algorithm.

Therefore in order to predict the performance of an algorithm when it is being analysed, different amounts of inputs will need to be processed.

the correct answer is: a.)it is never appropriate to use acronyms and emoticons in business communication.

we can all learn from our past mistakes because we all have different ways of learning different types of techniques. my way may or may not another classmate remember and have the repetition to acknowledge such standard. such as remembering acronyms. using abbreviations to us remember keep things in order in our memory. this us figure out what comes next in the sequence. if so, what we have is a sentence of just letters all in caps. we either know the meaning or have no idea what it stands for. most of the time we know the meaning and context. but most of us who don't know, should learn by having a quick glance at what needs to be remembered. such as repetition in the memory for acronyms. one way that me, is the fact that i'm always doing math and english assignments. so we have to remember specific meanings such as soapstone for documents, such as citing correctly. or pemdas for doing the equations correctly, even if it's the super long way. this works for everyone. you just have to find what works for you by practicing and repetition daily.