1900. The Earliest and Latest Rounds Where Players Compete
UnknownView on LeetCode
Time: O(n^4)
Space: O(n^4)
Problem Overview
The Earliest and Latest Rounds Where Players Compete (Unknown) asks you to solve a structured algorithmic task. This is a common Dynamic Programming pattern in coding interviews. Memoized DFS simulating rounds; for each arrangement try outcomes for all pairs.
A full step-by-step explanation is being added. See the study guide for pattern-based practice.
Approach
Memoized DFS simulating rounds; for each arrangement try outcomes for all pairs.
Related patterns: Dynamic Programming
1900.cs
C#
// Approach: Memoized DFS simulating rounds; for each arrangement try outcomes for all pairs.
// Time: O(n^4) Space: O(n^4)
public class Solution
{
public int[] EarliestAndLatest(int n, int firstPlayer, int secondPlayer)
{
int[][][][] mem = new int[n + 1][][][];
for (int i = 0; i <= n; i++)
{
mem[i] = new int[n + 1][][];
for (int j = 0; j <= n; j++)
{
mem[i][j] = new int[n + 1][];
for (int k = 0; k <= n; k++)
mem[i][j][k] = new int[2];
}
}
return Solve(firstPlayer, n - secondPlayer + 1, n, mem);
}
// Returns the (earliest, latest) pair, the first player is the l-th player
// from the front, the second player is the r-th player from the end, and
// there're k people.
private int[] Solve(int l, int r, int k, int[][][][] mem)
{
if (l == r)
return new int[] { 1, 1 };
if (l > r)
return Solve(r, l, k, mem);
if (!mem[l][r][k].SequenceEqual(new int[] { 0, 0 }))
return mem[l][r][k];
int a = int.MaxValue;
int b = int.MinValue;
// Enumerate all the possible positions.
for (int i = 1; i <= l; ++i)
for (int j = l - i + 1; j <= r - i; ++j)
{
if (i + j > (k + 1) / 2 || i + j < l + r - k / 2)
continue;
int[] res = Solve(i, j, (k + 1) / 2, mem);
a = Math.Min(a, res[0] + 1);
b = Math.Max(b, res[1] + 1);
}
return mem[l][r][k] = new int[] { a, b };
}
}Was this solution helpful?
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