) Suppose both functions aFn(i) and bFn() require only one unit of time to be executed. Find the complexity T(n) of the Python code segment above, where n is the size of the input data. No explanation required. b) Suppose function aFn(i) requires i units of time to be executed and bFn()requires only one unit of time. Find the complexity T(n) of the Python code segment above, where n is the size of the input data. No explanation required. c) Given complexity function f(n)=AnA+Bn+nAB+B where A and B are positive integer constants, use the definition of Big-O to prove f(n)=O(nAB). Clearly show the steps of your proof. (* Use definition, not properties of Big-O.)

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Computational Systems

The computation systems can be defined as the systems that are capable of solving a problem that includes calculations either mathematical or logical, and are able to produce the result as an output. For example, a simple calculator that is given a set of numbers and operators as input and produces the result as an output can be defined as a computational system. The above example is a simple illustration only, the computational systems range from simple devices to complex devices such as the systems that control the SpaceX companies, Starlink satellites which are being quite recently seen in the skies at many places globally.