#### Approach #1: Simulation [Accepted]

Intuition

Let team[i] be the correct team string of the i-th strongest team for that round. We will maintain these correctly as the rounds progress.

Algorithm

In each round, the i-th team becomes "(" + team[i] + "," + team[n-1-i] + ")", and then there are half as many teams.

Complexity Analysis

• Time Complexity: . Each of rounds performs work.

• Space Complexity: .

#### Approach #2: Linear Write [Accepted]

Intuition

Let's try to solve the problem in linear time. We can treat this problem as two separate problems: outputting the correct sequence of parentheses and commas, and outputting the correct team number. With a little effort, one can be convinced that a linear time solution probably exists.

Algorithm

Let's focus on the parentheses first. We can use recursion to find the answer. For example, when N = 8, let R = log_2(N) = 3 be the number of rounds. The parentheses and commas look like this:

(((x,x),(x,x)),((x,x),(x,x)))


But this is just recursively

"(" + (sequence for R = 2) + "," + (sequence for R = 2) + ")"
= "(" + "((x,x),(x,x))" + "," + "((x,x),(x,x))" + ")"


Now let's look at the team numbers. For N = 16, the team numbers are:

team = [1, 16, 8, 9, 4, 13, 5, 12, 2, 15, 7, 10, 3, 14, 6, 11]

One thing we might notice is that adjacent numbers sum to 17. More specifically, indices that are 0 and 1 (mod 2) sum to 17. Also, indices 0 and 2 (mod 4) sum to 9, indices 0 and 4 (mod 8) sum to 5, and so on.

The pattern in general is: indices 0 and 2**r (mod 2**(r+1)) sum to N * 2**-r + 1.

If we want to find the next team[i], then the lowest bit of i will help determine it's lower neighbor. For example, team = team[0b1100] has lower bit w = 4 = 0b100, so 12 has lower neighbor 12 - w = 8, and also those team numbers sum to N / w + 1.

Complexity Analysis

• Time Complexity: . We print each of characters in order.

• Space Complexity: .