Algorithm Efficiency 1- Programming Problem Part 1 Write a function that will have a list as an input, the task of the function is to check if all the elements in the list are unique,( i.e. no repetition of any value has occurred in the list), then the function returns true otherwise it returns false. Your program should include a main method that call the method to test it. (If you would use built-in functions in Python, use lists’ or dictionaries’ methods as we studied their time efficiency in class) 2- Algorithm Analysis For the function you implemented in part 1, please calculate T(n), which represents the running time of your algorithm in terms of n. Where n is the length of the list. Then find the order of magnitude of your algorithm (Big O). 3- Algorithms Comparison Please find another algorithm that solves part 1, write the code, calculate T(n) and find Big O. Then compare the efficiency with the algorithm from part1 to determine the more efficient one.
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Write a function that will have a list as an input, the task of the function is to check if all the elements in the list are unique,( i.e. no repetition of any value has occurred in the list), then the function returns true otherwise it returns false. Your program should include a main method that call the method to test it.
(If you would use built-in functions in Python, use lists’ or dictionaries’ methods as we studied their time efficiency in class)
2- Algorithm Analysis
For the function you implemented in part 1, please calculate T(n), which represents the running time of your algorithm in terms of n. Where n is the length of the list. Then find the order of magnitude of your algorithm (Big O).
3- Algorithms Comparison
Please find another algorithm that solves part 1, write the code, calculate T(n) and find Big O. Then compare the efficiency with the algorithm from part1 to determine the more efficient one.
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