Assess your algorithms. Considerations might include
• performance (time / number of operations)
• accuracy - for approximation / randomized algorithms, to what extent did it find the optimal answer
• where applicable, there may be other measure of success. For example, if you are doing data compression, you might compare the compression ratios of the different algorithms and for various kinds of data
Some discussion as to what extent the predicted time complexities matched the actual (empirical) ones? If they didn't can you offer some insight as to why they are different?
If you had more time, what further questions would you pursue on this topic? How would you extend the research?
Acknowledge sources (books, websites) you used for information, code, etc.
Exhibits (separate from PDF)
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