null.space: Find the null space of a matrix
In MSBVAR: Markov-Switching, Bayesian, Vector Autoregression Models
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
Computes the null space of A for an arbitrary linear system of the
form Ax = b.
Usage
1
null.space(x)
Arguments
x
m x n A matrix of a linear system
Ax = b
Details
Computes the null space via singular value decomposition (SVD) of A by
finding the columns of the SVD of A that correspond to the
non-singular column vectors that span A.
Value
Returns an m x q matrix that is the null space,
where q is the rank of A.
Author(s)
Patrick T. Brandt
See Also
MSBVAR documentation built on May 30, 2017, 1:23 a.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
Computes the null space of A for an arbitrary linear system of the form Ax = b.
Usage
1 | null.space(x)
|
Arguments
x |
m x n A matrix of a linear system Ax = b |
Details
Computes the null space via singular value decomposition (SVD) of A by finding the columns of the SVD of A that correspond to the non-singular column vectors that span A.
Value
Returns an m x q matrix that is the null space, where q is the rank of A.
Author(s)
Patrick T. Brandt
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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