You currently work in an algorithm

  

You currently work in an algorithm development group for a large multimedia, mobile device corporation. Your group has been tasked with creating an app that will play an audio file backwards (from end to beginning rather than the standard beginning to end). Because this app is likely to be used on a mobile device, your group figures that this algorithm should use as little memory and space as possible. Your group has therefore decided to construct this reversal order algorithm such that it is an “in-place” algorithm. This simply means that the audio file will be loaded to memory and reversed using the same memory locations (because you must use memory sparingly).

Assignment

  • Part 1: Before attempting this implementation, you      choose to develop a simple prototype version of this algorithm in C++.      Specifically, you will build an in-place, order reversal algorithm. This      algorithm will take as an input an array of ints and will reverse the      order of the elements in the array, in place (essentially using only the      memory in the array). For example, if the array contains five elements      [1,2,3,4,5], the output of the algorithm will be [5,4,3,2,1]. Comment your      program.
  • Part 2: using this prototype, you will analyze the      time complexity and space complexity of your algorithm in the worst case.      Specifically, for time complexity, count the number of steps for each line      of code, and write down the total lines executed as a mathematical      expression where n is the size of the input array. For space complexity,      write an expression for the number of memory locations and components that      are required for algorithm in the worst case. (Assume that each int is one      location.)
  • Part 3: Program a      function, method or class that will track the true runtime of your      algorithm. Find the true runtime of your algorithm using arrays of varying      sizes (e.g., n = 500, n = 1,500, and n= 2,500) using your new tool. Plot,      on a Cartesian plane, the runtime of your algorithm as a function of the      size of the input array, n.







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