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Computes the eigenvalues and eigenvectors for real or complex square matrices. eig(a) solves the standard problem a x = lambda*x. eig(a, b) solves the general problem a x = lambda*b x.

## Syntax

ev = eig(a)
ev = eig(a, b)
[evec, evdiag] = eig(a)
[evec, evdiag] = eig(a, b)

## a

Square matrix whose dependent matrices are also square.

## b

Matrix of the same size as a.

## ev

Eigenvalues of a or the generalized eigenvalues of a and b. ev is a vector.

## evec

Square matrix whose columns are the normalized eigenvectors of a or the normalized generalized eigenvectors of a and b.

## evdiag

Matrix of the same type as a with the elements of ev on the diagonal.