Scilab 5.3.3
- Scilab help
- Linear Algebra
- aff2ab
- balanc
- bdiag
- chfact
- chol
- chsolve
- classmarkov
- cmb_lin
- coff
- colcomp
- companion
- cond
- det
- eigenmarkov
- ereduc
- expm
- fstair
- fullrf
- fullrfk
- genmarkov
- givens
- glever
- gschur
- gspec
- hess
- householder
- im_inv
- inv
- kernel
- kroneck
- linsolve
- lsq
- lu
- lyap
- nlev
- orth
- pbig
- pencan
- penlaur
- pinv
- polar
- proj
- projspec
- psmall
- qr
- quaskro
- randpencil
- range
- rank
- rankqr
- rcond
- rowcomp
- rowshuff
- rref
- schur
- spaninter
- spanplus
- spantwo
- spec
- sqroot
- squeeze
- sva
- svd
- sylv
- trace
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
colcomp
column compression, kernel, nullspace
Calling Sequence
[W,rk]=colcomp(A [,flag] [,tol])
Arguments
- A
real or complex matrix
- flag
character string
- tol
real number
- W
square non-singular matrix (change of basis)
- rk
integer (rank of
A
)
Description
Column compression of A
: Ac = A*W
is
column compressed i.e
Ac=[0,Af]
with Af
full column rank,
rank(Af
) = rank(A
) = rk
.
flag
and tol
are optional parameters: flag = 'qr'
or 'svd'
(default is 'svd'
).
tol
= tolerance parameter (of order %eps
as default value).
The ma-rk
first columns of W
span the kernel of A
when size(A)=(na,ma)
See Also
Authors
F.D.;
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