You are given a 0-indexed integer array nums
whose length is a power of 2
.
Apply the following algorithm on nums
:
- Let
n
be the length ofnums
. Ifn == 1
, end the process. Otherwise, create a new 0-indexed integer arraynewNums
of lengthn / 2
. - For every even index
i
where0 <= i < n / 2
, assign the value ofnewNums[i]
asmin(nums[2 * i], nums[2 * i + 1])
. - For every odd index
i
where0 <= i < n / 2
, assign the value ofnewNums[i]
asmax(nums[2 * i], nums[2 * i + 1])
. - Replace the array
nums
withnewNums
. - Repeat the entire process starting from step 1.
Return the last number that remains in nums
after applying the algorithm.
Example 1:
Input: nums = [1,3,5,2,4,8,2,2] Output: 1 Explanation: The following arrays are the results of applying the algorithm repeatedly. First: nums = [1,5,4,2] Second: nums = [1,4] Third: nums = [1] 1 is the last remaining number, so we return 1.
Example 2:
Input: nums = [3] Output: 3 Explanation: 3 is already the last remaining number, so we return 3.
Constraints:
1 <= nums.length <= 1024
1 <= nums[i] <= 109
nums.length
is a power of2
.
Related Topics:
Array, Simulation
Similar Questions:
// OJ: https://leetcode.com/problems/min-max-game
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(N)
class Solution {
public:
int minMaxGame(vector<int>& A) {
while (A.size() > 1) {
vector<int> next(A.size() / 2);
for (int i = 0; i < next.size(); ++i) {
if (i % 2 == 0) next[i] = min(A[2 * i], A[2 * i + 1]);
else next[i] = max(A[2 * i], A[2 * i + 1]);
}
swap(next, A);
}
return A[0];
}
};
Or compute in place
// OJ: https://leetcode.com/problems/min-max-game
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(N)
class Solution {
public:
int minMaxGame(vector<int>& A) {
int N = A.size();
while (N > 1) {
N /= 2;
for (int i = 0; i < N; ++i) {
if (i % 2 == 0) A[i] = min(A[2 * i], A[2 * i + 1]);
else A[i] = max(A[2 * i], A[2 * i + 1]);
}
}
return A[0];
}
};