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This approach involves checking all possible combinations or permutations to find the solution. Although it's straightforward and easy to implement, it may not be the most efficient way due to its high time complexity.
Time Complexity: O(n^2) - where n is the size of the input.
Space Complexity: O(1) - constant space usage as no additional data structures are used.
1public class Main {
2 public static void main(String[] args) {
3 solve();
4 }
5
6 static void solve() {
7 // Your brute-force logic here
8 System.out.println("Solution not implemented yet");
9 }
10}This Java solution framework includes a method to implement the brute-force approach for solving the problem at hand.
This approach uses a hash map to store intermediate results or counts, allowing for quicker lookup and more efficient processing, reducing the time complexity compared to the brute-force method.
Time Complexity: O(n) - linear time if hash lookups are constant time.
Space Complexity: O(n) - due to storage in the hash map.
1
This C program outlines the structure for utilizing a hash map approach to optimize solving the problem.