有没有二维“地图”？等价于Matlab？

发布于 2024-11-03 02:21:50 字数 158 浏览 0 评论 0原文

我试图通过将一个函数应用于两个向量的元素的所有组合来生成一个矩阵 - 像这样：

A(i,j) = fun(X(i), Y(j));

我发现的最佳解决方案是循环所有 i 和 j，但我知道这在 Matlab 中是不好的风格。有什么建议吗？

原文

I'm trying to generate a matrix by applying a function to all combinations of elements of two vectors -- something like this:

A(i,j) = fun(X(i), Y(j));

Best solution I've found is to loop over all i and j, but I know that's bad style in Matlab. Any suggestions?

分享到QQ

分享到微博

如果你对这篇内容有疑问，欢迎到本站社区发帖提问参与讨论，获取更多帮助，或者扫码二维码加入 Web 技术交流群。

发布评论

需要登录才能够评论，你可以免费注册一个本站的账号。

世态炎凉 2024-11-10 02:21:50

这基本上就是 MESHGRID 的用途。它将值向量复制到网格中，然后可以将函数应用于这些网格点。您通常可以利用矩阵和逐元素数组运算来避免使用 for 循环对生成的网格执行某些计算。下面是一个示例：

>> X = 1:4;  %# A sample X vector
>> Y = 1:5;  %# A sample Y vector
>> [xMat,yMat] = meshgrid(X,Y);  %# Create 2-D meshes from the vectors X and Y
>> fun = @(x,y) x.^y;   %# A sample function, which raises each element of x to
                        %#   the corresponding element of y power
>> A = fun(xMat,yMat)   %# Apply the function to compute A

A =

           1           2           3           4
           1           4           9          16
           1           8          27          64
           1          16          81         256
           1          32         243        1024

请注意 MESHGRID 的第一个输入（即 X）被视为沿列运行，而第二个输入（即Y）被视为沿行运行。如果 X 和 Y 表示笛卡尔坐标并且矩阵 A 将被绘制为 3-D 曲面或网格，则通常需要这样做。但是，如果您想要这种行为，您也可以使用函数 NDGRID ”翻转”。这是 NDGRID 的相同示例：

>> [xMat,yMat] = ndgrid(X,Y);
>> A = fun(xMat,yMat)

A =

           1           1           1           1           1
           2           4           8          16          32
           3           9          27          81         243
           4          16          64         256        1024

请注意 A 现在是 4×5 矩阵，而不是 5×4 矩阵。

This is basically what MESHGRID is for. It replicates vectors of values into meshes, and a function can then be applied to those meshed points. You can usually take advantage of matrix and element-wise array operations to avoid using a for loop to perform certain computations on the resulting meshes. Here's an example:

>> X = 1:4;  %# A sample X vector
>> Y = 1:5;  %# A sample Y vector
>> [xMat,yMat] = meshgrid(X,Y);  %# Create 2-D meshes from the vectors X and Y
>> fun = @(x,y) x.^y;   %# A sample function, which raises each element of x to
                        %#   the corresponding element of y power
>> A = fun(xMat,yMat)   %# Apply the function to compute A

A =

           1           2           3           4
           1           4           9          16
           1           8          27          64
           1          16          81         256
           1          32         243        1024

Notice that the first input to MESHGRID (i.e. X) is treated as running along the columns, while the second input (i.e. Y) is treated as running down the rows. This is generally desired if X and Y represent Cartesian coordinates and the matrix A is going to be plotted as a 3-D surface or mesh. However, you could also use the function NDGRID if you want this behavior "flipped". Here's the same example with NDGRID:

>> [xMat,yMat] = ndgrid(X,Y);
>> A = fun(xMat,yMat)

A =

           1           1           1           1           1
           2           4           8          16          32
           3           9          27          81         243
           4          16          64         256        1024

Notice that A is now a 4-by-5 matrix instead of a 5-by-4 matrix.

回复收藏 0 原文

~没有更多了~