Algorithms/30 Days of Code
Day 11: 2D Arrays
ND Paul Kim
2018. 2. 20. 17:21
Context
Given a 2D Array, :
1 1 1 0 0 0
0 1 0 0 0 0
1 1 1 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
We define an hourglass in to be a subset of values with indices falling in this pattern in 's graphical representation:
a b c
d
e f g
There are hourglasses in , and an hourglass sum is the sum of an hourglass' values.
Task
Calculate the hourglass sum for every hourglass in , then print the maximum hourglass sum.
Input Format
There are lines of input, where each line contains space-separated integers describing 2D Array ; every value in will be in the inclusive range of to .
Constraints
Output Format
Print the largest (maximum) hourglass sum found in .
Sample Input
1 1 1 0 0 0
0 1 0 0 0 0
1 1 1 0 0 0
0 0 2 4 4 0
0 0 0 2 0 0
0 0 1 2 4 0
Sample Output
19
Explanation
contains the following hourglasses:
1 1 1 1 1 0 1 0 0 0 0 0
1 0 0 0
1 1 1 1 1 0 1 0 0 0 0 0
0 1 0 1 0 0 0 0 0 0 0 0
1 1 0 0
0 0 2 0 2 4 2 4 4 4 4 0
1 1 1 1 1 0 1 0 0 0 0 0
0 2 4 4
0 0 0 0 0 2 0 2 0 2 0 0
0 0 2 0 2 4 2 4 4 4 4 0
0 0 2 0
0 0 1 0 1 2 1 2 4 2 4 0
The hourglass with the maximum sum () is:
2 4 4
2
1 2 4
풀이
package Day11;
import java.util.Scanner;
public class Solution {
public static void main(String[] args) {
Scanner in = new Scanner(System.in);
int arr[][] = new int[6][6];
for(int i=0; i < 6; i++){
for(int j=0; j < 6; j++){
arr[i][j] = in.nextInt();
}
}
int max = Integer.MIN_VALUE;
for (int i = 0; i < 4; i++){
for (int j = 0; j < 4; j++){
int sum = 0;
sum += arr[i][j] + arr[i][j+1] + arr[i][j+2]
+ arr[i+1][j+1]
+ arr[i+2][j] + arr[i+2][j+1] + arr[i+2][j+2];
max = Math.max(sum, max);
}
}
}
}