eig (Matlab function)

Find eigenvalues and eigenvectors

Matlab/Scilab equivalent

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);

Particular cases

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^-1A 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.

Report an issue
<< echo (Matlab function)	E	eigs (Matlab function) >>

Copyright (c) 2022-2024 (Dassault Systèmes)
Copyright (c) 2017-2022 (ESI Group)
Copyright (c) 2011-2017 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors

Last updated:
Mon May 22 12:43:16 CEST 2023