Implement a function to find the K elements of a given array that are closet to the median. (Hint: You could modify Quick_Select to find the answer!) 1. Request the user to enter a positive integer, and call it n. 2. Generate n random integers between -100 to 100 and save them in a. 3. Print the generated array. 4. Request the user to enter a number between 1 to n, and call it K. 5. Find the median of the array. (Hint: can you use quick select? What is the time complexity in this step?) 6. Save the differences from the median (|a[i]-median|) in a new array and call it diff. (Note: The K closet elements/numbers have the K smallest difference from the median. What is the time complexity in this stage?) 7. Use diff to find the K numbers. (Hint: can you use quick select again? What is the time complexity in this step?) 8. Shift the found K numbers back to their original value (+median). (Question: What is the time complexity in this step?) 9. Print the answer 😊 10. Calculate the total time complexity of your algorithm and present your answer when demoing.
