eig (Matlab function)

Find eigenvalues and eigenvectors

Matlab

Scilab

d = eig(A,'balance')
[V,D] = eig(A,'balance')
[V,D] = eig(A,'balance')
d = eig(A,B)
d = eig(A,B)
d = eig(A,B)
[V,D] = eig(A,B)

d = spec(A)
[D,V]=bdiag(A)
[V,D] = spec(A)
[al,be] = spec(A,B); d = al./be;
d = spec(A,B)
d = spec(inv(B)*A)
[al,be,V] = spec(A,B); D = diag(al./be);

eig(A): Scilab equivalent for eig(A) is spec(A). Scilab eigenvector matrix can differ from Matlab one.
eig(A,'nobalance'): There is no Scilab equivalent for "nobalance" option. See examples.
eig(A,B,flag): There is no Scilab equivalent for flag.

If matrix B is nonsingular, the generalized eigenvalues can be computed as the eigenvalues of the matrix $B^{-1}A$ i.e. d=spec(B^-1*A).
If A is a real random square matrix, Scilab equivalent for the Matlab syntax [V,D] = eig(A,'balance') is [D,V] = bdiag(A+%i*0, 1/%eps). In this case D consists of complex 1x1 blocks.

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Last updated:
Tue Feb 25 08:52:43 CET 2020