Eigenproblems

Eigen Operations

det(A) computes the determinant of a square matrix, sometimes when the matrix is singular the result of this function might not be 0 but some number of a very small magnitude e.g(3.5x10^-17) due to the finite numerical nature of matlab. Full Documentation
```
  A = [2 3 4; 1 2 5; 0 2 4];
  det(A)
```
eig(A) is able to compute the eigenvalues and eigenvectors of n x n matrix. The function outputs two separate matrices, the first one contains a matrix with the eigenvectors in the following format: (for a 2x2) [x1 x2; y1 y2] and the second matrix contains the eigenvalues [lambda1 0; 0 lambda 2]. Full Documentation
```
  A = [1 0; 0 -3]
  [v d] = eig(A)
```

IMPORTANT plotv requires the Deep learning toolbox to work. Make sure it is installed before trying to use it.

plotv(M) generates 2 Dimensional plot of vectors from the origin, the input argument M is a matrix that contains the x components of the vectors in the first row and the second row contains the y components of the vectors: M = [x1 x2; y1 y2]. Full Documentation
```
  M = [2 3 5; 1 2 3];
  plotv(M)
```