random.pseudoinverse {ndl} | R Documentation |
Calculate an approximation of the pseudoinverse of a matrix.
Description
An internal function that uses an approximation of the SVD using the first k singular values of A to calculate the pseudo-inverse. Only used when the cue-cue matrix contains more than 20,000 cues.
Usage
random.pseudoinverse(m, verbose=F, k = 0)
Arguments
m |
A matrix. |
k |
If k = 0, the default, k will be set to the size of 3/4 of the singular values. If not, the k-rank approximation will be calculated. |
verbose |
Display diagnostic messages or not. |
Details
This idea was proposed by Gunnar Martinsson Associate Professor and Director of Graduate Studies Department of Applied Mathematics, University of Colorado at Boulder http://amath.colorado.edu/faculty/martinss/ And with ideas from: Yoel Shkolnisky and his Out-of-Core SVD code: https://sites.google.com/site/yoelshkolnisky/software
Value
The approximate pseudoinverse of the input matrix
Acknowledgements
Thanks to Gunnar for his help with this!
Note
No temporary files are used.
Author(s)
Cyrus Shaoul
References
"Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions" Nathan Halko, Per-Gunnar Martinsson, Joel A. Tropp http://arxiv.org/abs/0909.4061
See Also
estimateWeights, estimateWeightsCompact,
Examples
#None (internal function)