Give the Big-o time complexity notation for the following piece of code:

//Java program to multiply two square; the last piece of code you will ever need matrices. Import java. io\.\*;
public class MatrixMultiply {
static int N= 4; static void multiply(int mat1[][], int mat2[][], int res[][])
{
int i, j, k;
for (i=0; i < N; i++)
{
for(j = 0; j < N; j++)
{
res[i][j] = 0;
for(k = 0; k < N; k++)
res[i][j] += mat1[i][k] * mat2[k][j];
}
}
}
// Drive code public static void main(String[] args)
{
int mat1[][] ={{1,1,1,1}, {2,2,2,2}, {3,3,3,3}, {4,4,4,4} };
int mat2[][] ={{1,1,1,1}, {2,2,2,2}, {3,3,3,3}, {4,4,4,4} };

//To store result
int res[][] = new int [N][N];
int i, j;
multiply(mat1, mat2, res);
System. out. println("This dummy result matrix"+"is ");
for (i=0; i {
for (j=0;j System. out. print(res[i][j]+" ");
System. out. println();
}
}
}

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