Question: insertion.h + insertion.h > ... For each of the algorithms below, determine if the run-time growth of the algorithm is different from the Big-Oh runtime

 insertion.h + insertion.h > ... For each of the algorithms below,determine if the run-time growth of the algorithm is different from the

insertion.h + insertion.h > ... For each of the algorithms below, determine if the run-time growth of the algorithm is different from the Big-Oh runtime when presented with an array that is already in ascending order, and if it is different if presented with an array in descending order. Does the runtime for the sorted array exhibit a best-case scenario (Omega)? Does the runtime for the sorted array exhibit a worst-case scenario (Theta)? Or does it make no difference for the particular algorithm (Big-Oh applies to both best- and worst-case)? Examine the code for each of these algorithms and make your determination based on an examination of the code. Explain how you arrived at your conclusion. Base your answers on the implementations included in this Replit project (note that online resources may discuss this issue but may be based on different implementations of the same algorithms). Be explicit citing line numbers in the code

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