由2维构成的矩阵如下:
for (i = 0; i <length*length; i++)
Mat [i/length, i% length] = i;
那我如何循环一个3d矩阵呢?
for (i = 0; i <length*length*length; i++)
Mat [?] = i;
答案 0 :(得分:1)
for (i = 0; i <length*length*length; i++)
q = i/(length*length);
r = i%(length*length);
Mat [q, r/length, r%length] = i;
<强>的Python 强>
k = 3
for i in xrange(k * k * k):
q = i / (k * k)
r = i % (k * k)
print q, r / k, r % k
<强>输出强>
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
答案 1 :(得分:1)
只需在基本长度中编写 index ,您就可以获得N维度的一般解决方案。
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;
或者只是缩短
for (i = 0; i <length*length*length; i++)
Mat[i / (length*length), (i/length) % length, i % length] = i