1854. Maximum Population Year
Description
You are given a 2D integer array logs where each logs[i] = [birthi, deathi] indicates the birth and death years of the ith person.
The population of some year x is the number of people alive during that year. The ith person is counted in year x's population if x is in the inclusive range [birthi, deathi - 1]. Note that the person is not counted in the year that they die.
Return the earliest year with the maximum population.
Example 1:
Input: logs = [[1993,1999],[2000,2010]] Output: 1993 Explanation: The maximum population is 1, and 1993 is the earliest year with this population.
Example 2:
Input: logs = [[1950,1961],[1960,1971],[1970,1981]] Output: 1960 Explanation: The maximum population is 2, and it had happened in years 1960 and 1970. The earlier year between them is 1960.
Constraints:
1 <= logs.length <= 1001950 <= birthi < deathi <= 2050
Solutions
Solution 1: Difference Array
Thinking
We need the earliest year with the maximum population; years lie in \([1950,2050]\). Recounting every life for every year repeats work.
The domain is tiny, so a difference array adds \(1\) at birth and subtracts \(1\) at death. A prefix-sum scan yields the population of each year; the first maximum, shifted back by \(1950\), is the answer.
We notice that the range of years is \([1950,..2050]\). Therefore, we can map these years to an array \(d\) of length \(101\), where the index of the array represents the value of the year minus \(1950\).
Next, we traverse \(logs\). For each person, we increment \(d[birth_i - 1950]\) by \(1\) and decrement \(d[death_i - 1950]\) by \(1\). Finally, we traverse the array \(d\), find the maximum value of the prefix sum, which is the year with the most population, and add \(1950\) to get the answer.
The time complexity is \(O(n)\), and the space complexity is \(O(C)\). Where \(n\) is the length of the array \(logs\), and \(C\) is the range size of the years, i.e., \(2050 - 1950 + 1 = 101\).
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