由二维组成的矩阵如下:
for (i = 0; i <length*length; i++)
Mat [i/length, i% length] = i;
那么如何循环遍历 3d 矩阵?
for (i = 0; i <length*length*length; i++)
Mat [?] = i;
由二维组成的矩阵如下:
for (i = 0; i <length*length; i++)
Mat [i/length, i% length] = i;
那么如何循环遍历 3d 矩阵?
for (i = 0; i <length*length*length; i++)
Mat [?] = i;
只需将index写入base length,您将获得 N 个维度的通用解决方案。
因此,对于 3D,它将是
for (i = 0; i <length*length*length; i++)
p = i;
z = p % length;
p /= length;
y = p % length;
p /= length;
x = p;
Mat [x, y, z] = i;
或者只是更短
for (i = 0; i <length*length*length; i++)
Mat[i / (length*length), (i/length) % length, i % length] = i
for (i = 0; i <length*length*length; i++)
q = i/(length*length);
r = i%(length*length);
Mat [q, r/length, r%length] = i;
Python
k = 3
for i in xrange(k * k * k):
q = i / (k * k)
r = i % (k * k)
print q, r / k, r % k
输出
0 0 0
0 0 1
0 0 2
0 1 0
0 1 1
0 1 2
0 2 0
0 2 1
0 2 2
1 0 0
1 0 1
1 0 2
1 1 0
1 1 1
1 1 2
1 2 0
1 2 1
1 2 2
2 0 0
2 0 1
2 0 2
2 1 0
2 1 1
2 1 2
2 2 0
2 2 1
2 2 2