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The first approach involves using an iterative method to solve the problem. This generally involves using loops to traverse and manage the input data while making use of auxiliary data structures to optimize the solution.
Time Complexity: O(n), where n is the number of elements in the array.
Space Complexity: O(1), as it uses constant space.
1#include <stdio.h>
2void iterativeSolution(int arr[], int n) {
3 // Example iteration
4 for (int i = 0; i < n; i++) {
5 printf("%d ", arr[i]);
6 }
7}
This C program demonstrates a simple iteration over an array, printing each element. Replace or extend the logic inside the loop as needed for your specific problem.
The second approach uses recursion to solve the given problem, which can simplify problems with a clear recursive structure. This involves a base case and a recursive call that processes a subset of the data.
Time Complexity: O(n), due to n recursive calls.
Space Complexity: O(n), for the recursion call stack.
1
In Python, recursion is used to print elements of the list. It stops when the index reaches the length of the list.