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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.
1void IterativeSolution(int[] arr) {
2 foreach (var num in arr) {
3 Console.Write(num + " ");
4 }
5}This C# code iterates over an array using a foreach loop. The output is printed to the console. Change the loop body for specific task needs.
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.
1This C function demonstrates recursive traversal of an array. It prints each element until the base case (end of the array) is reached.