Scilab Function
Last update : 16/12/2004

bdiag - block diagonalization, generalized eigenvectors

Calling Sequence

[Ab [,X [,bs]]]=bdiag(A [,rmax])

Parameters

Description


[Ab [,X [,bs]]]=bdiag(A [,rmax]) 
   
    

performs the block-diagonalization of matrix A. bs gives the structure of the blocks (respective sizes of the blocks). X is the change of basis i.e Ab = inv(X)*A*Xis block diagonal.

rmax controls the conditioning of X; the default value is the l1 norm of A.

To get a diagonal form (if it exists) choose a large value for rmax (rmax=1/%eps for example). Generically (for real random A) the blocks are (1x1) and (2x2) and X is the matrix of eigenvectors.

Examples


//Real case: 1x1 and 2x2 blocks
a=rand(5,5);[ab,x,bs]=bdiag(a);ab
//Complex case: complex 1x1 blocks
[ab,x,bs]=bdiag(a+%i*0);ab
 
  

See Also

schur,  sylv,  spec,