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This approach involves solving the problem using an iterative method, where we use loops to perform the necessary calculations. This can be more efficient in terms of space complexity, especially if recursion would lead to excessive function call overhead.
Time Complexity: O(n), where n is the number of elements.
Space Complexity: O(1) since we are not using any extra space proportional to the input size.
1using System;
2
3class Solution {
4 public static void SolveProblem(int n) {
5 for (int i = 0; i < n; i++) {
6 // Solution logic here
7 Console.Write(i + " ");
8 }
9 }
10
11 static void Main(string[] args) {
12 int n = 10;
13 SolveProblem(n);
14 }
15}In C#, the use of Console.Write is analogous to the use of System.out.print in Java. A loop iterates through each element efficiently.
This approach explores solving the problem through recursion, which can offer simplicity and expressiveness. However, care must be taken with recursion depth to avoid stack overflow.
Time Complexity: O(n)
Space Complexity: O(n) due to the call stack.
1#include
The recursive solution in C uses a helper parameter `i` that tracks the current state, printing the current value, and making a recursive call with `i + 1` until `i` reaches `n`.