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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)

    Inputs

    a

    Square matrix whose dependent matrices are also square.

    b

    Matrix of the same size as a.

    Outputs

    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.