How can i correct this error ?

Hi
In my program, i use the function eig to return the eigenvalues :
[V,D]=eig(k,m);
But i have obtained this error:
Error using eig
EIG does not support generalized eigenproblem EIG(A,B) when A or B is sparse.
Please help me.

2 Commenti

Adam
Adam il 1 Set 2016
Clearly you need to give us more information on k and m. Judging from the error messages though it seems clear that one of your two inputs, k or m, are sparse matrices and these are not supported by Eig.

m=

   (1,1)                0.00075602592
   (3,1)                0.00013085064
   (4,1)              -8.00127432e-07
   (2,2)            1.25066072448e-08
   (3,2)               8.00127432e-07
   (4,2)            -4.6899777168e-09
   (1,3)                0.00013085064
   (2,3)               8.00127432e-07
   (3,3)                0.00037801296
   (4,3)             -1.354061808e-06
   (1,4)              -8.00127432e-07
   (2,4)            -4.6899777168e-09
   (3,4)             -1.354061808e-06
   (4,4)             6.2533036224e-09

And, k=

   (1,1)             28834278.0744617
   (3,1)            -14417139.0372308
   (4,1)             183097.665772832
   (2,2)             6200.90761417323
   (3,2)            -183097.665772832
   (4,2)             1550.22690354331
   (1,3)            -14417139.0372308
   (2,3)            -183097.665772832
   (3,3)             14417139.0372308
   (4,3)            -183097.665772832
   (1,4)             183097.665772832
   (2,4)             1550.22690354331
   (3,4)            -183097.665772832
   (4,4)             3100.45380708661

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 Risposta accettata

Star Strider
Star Strider il 1 Set 2016

0 voti

According to the sparse matrix section of the documentation, you need to use the eigs function.

2 Commenti

Have they the same result ?
They seem to, but the results of eig are ordered opposite those of eigs. The eigs funciton works with sparse matrices, while eig does not.
Check them with something like this example (not using sparse matrix arguments):
A = randi([-9 9], 5);
[V1,D1] = eig(A)
[V2,D2] = eigs(A)

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