为什么不尝试自己编写代码?把它当作一个挑战.:)

对于 3×3 矩阵

_{(来源:
(来源:wolfram.com)}

我假设你知道矩阵的行列式 |A|是.

图像 (c) Wolfram|Alpha 和mathworld.wolfram (06-11-09,22.06)

What's the easiest way to compute a 3x3 matrix inverse?

I'm just looking for a short code snippet that'll do the trick for non-singular matrices, possibly using Cramer's rule. It doesn't need to be highly optimized. I'd prefer simplicity over speed. I'd rather not link in additional libraries.

Why don't you try to code it yourself? Take it as a challenge. :)

For a 3×3 matrix

_{(source: wolfram.com)}

the matrix inverse is

_{(source: wolfram.com)}

I'm assuming you know what the determinant of a matrix |A| is.

Images (c) Wolfram|Alpha and mathworld.wolfram (06-11-09, 22.06)