svd奇异值分解matlab代码
时间: 2023-09-30 22:11:08 浏览: 131
Sure! Here is an example of Singular Value Decomposition (SVD) code in MATLAB:
```matlab
% Input matrix A
A = [1 2 3; 4 5 6; 7 8 9];
% Perform SVD on A
[U, S, V] = svd(A);
% U: Left singular vectors
disp('Left singular vectors (U):');
disp(U);
% S: Singular values
disp('Singular values (S):');
disp(S);
% V: Right singular vectors
disp('Right singular vectors (V):');
disp(V);
```
In this code, `svd(A)` computes the Singular Value Decomposition of matrix `A`. The output consists of three matrices: `U` (left singular vectors), `S` (singular values), and `V` (right singular vectors). These matrices can be accessed and displayed using the `disp()` function.
You can replace the input matrix `A` with your own matrix to perform SVD on your desired data.