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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.

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Last updated:
Mon Nov 07 15:06:11 CET 2022