Problem
You are given a 0-indexed array nums
consisting of positive integers, representing targets on a number line. You are also given an integer space
.
You have a machine which can destroy targets. Seeding the machine with some nums[i]
allows it to destroy all targets with values that can be represented as nums[i] + c * space
, where c
is any non-negative integer. You want to destroy the maximum number of targets in nums
.
Return** the minimum value of nums[i]
you can seed the machine with to destroy the maximum number of targets.**
Example 1:
Input: nums = [3,7,8,1,1,5], space = 2
Output: 1
Explanation: If we seed the machine with nums[3], then we destroy all targets equal to 1,3,5,7,9,...
In this case, we would destroy 5 total targets (all except for nums[2]).
It is impossible to destroy more than 5 targets, so we return nums[3].
Example 2:
Input: nums = [1,3,5,2,4,6], space = 2
Output: 1
Explanation: Seeding the machine with nums[0], or nums[3] destroys 3 targets.
It is not possible to destroy more than 3 targets.
Since nums[0] is the minimal integer that can destroy 3 targets, we return 1.
Example 3:
Input: nums = [6,2,5], space = 100
Output: 2
Explanation: Whatever initial seed we select, we can only destroy 1 target. The minimal seed is nums[1].
Constraints:
1 <= nums.length <= 105
1 <= nums[i] <= 109
1 <= space <= 109
Solution (Java)
class Solution {
public int destroyTargets(int[] nums, int space) {
Map<Integer, Integer> freqs = new HashMap<>();
int maxFreq = 0;
for (int n : nums) {
n %= space;
maxFreq = Math.max(maxFreq, freqs.merge(n, 1, Integer::sum));
}
int min = Integer.MAX_VALUE;
for (int n : nums) {
if (freqs.get(n % space) == maxFreq && min > n) {
min = n;
}
}
return min;
}
}
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).