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package DynamicProgramming;
/**
* DynamicProgramming solution for the Egg Dropping Puzzle
*/
public class EggDropping {
// min trials with n eggs and m floors
private static int minTrials(int n, int m) {
int[][] eggFloor = new int[n + 1][m + 1];
int result, x;
for (int i = 1; i <= n; i++) {
eggFloor[i][0] = 0; // Zero trial for zero floor.
eggFloor[i][1] = 1; // One trial for one floor
}
// j trials for only 1 egg
for (int j = 1; j <= m; j++)
eggFloor[1][j] = j;
// Using bottom-up approach in DP
for (int i = 2; i <= n; i++) {
for (int j = 2; j <= m; j++) {
eggFloor[i][j] = Integer.MAX_VALUE;
for (x = 1; x <= j; x++) {
result = 1 + Math.max(eggFloor[i - 1][x - 1], eggFloor[i][j - x]);
// choose min of all values for particular x
if (result < eggFloor[i][j])
eggFloor[i][j] = result;
}
}
}
return eggFloor[n][m];
}
public static void main(String args[]) {
int n = 2, m = 4;
// result outputs min no. of trials in worst case for n eggs and m floors
int result = minTrials(n, m);
System.out.println(result);
}
}
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