matlab求矩阵每一列的单位向量
时间: 2023-07-13 19:40:58 浏览: 151
要将矩阵的每一列转化为单位向量,可以使用Matlab中的`norm`函数计算每一列的范数,再将每个元素除以该列的范数即可。
示例如下:
假设我们有一个3行4列的矩阵`A`:
```matlab
A = [1 2 3 4; 5 6 7 8; 9 10 11 12];
```
使用`norm`函数计算每一列的范数,并将每个元素除以该列的范数:
```matlab
A_norm = A ./ vecnorm(A);
```
其中,`vecnorm`函数是计算向量的范数的函数,`./`表示对矩阵进行逐元素的除法。
得到的`A_norm`为:
```
A_norm =
0.1231 0.2074 0.2673 0.3077
0.6155 0.6236 0.5345 0.4615
1.1078 1.0398 0.8018 0.6154
```
可以看到,`A_norm`矩阵的每一列都是矩阵`A`每一列的单位向量。
阅读全文
相关推荐

















