proj12orth: Compute the projection of a vector onto the intersection of...
In vguillemot/csvd: Constrained Singular Value Decomposition
Description
Usage
Arguments
Value
Examples
Description
Compute the projection of a vector onto the intersection of the l1 ball,
the l2 ball and the space orthogonal to M.
Usage
1
proj12orth(x, a = 1, M, itermax = 5000, eps = 1e-16)
Arguments
x
A vector of numerics
a
The radius (>0) of the l1 ball
M
A matrix of vectors
itermax
The maximum number of iterations
eps
Precision
Value
The projection of x onto B_1(a) \cap B_2 \cap M^\perp.
Examples
1
proj12orth(1:10, a=10, M=normalize(rnorm(10)))
vguillemot/csvd documentation built on May 17, 2019, 8:16 p.m.
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Description Usage Arguments Value Examples
Description
Compute the projection of a vector onto the intersection of the l1 ball, the l2 ball and the space orthogonal to M.
Usage
1 | proj12orth(x, a = 1, M, itermax = 5000, eps = 1e-16)
|
Arguments
x |
A vector of numerics |
a |
The radius (>0) of the l1 ball |
M |
A matrix of vectors |
itermax |
The maximum number of iterations |
eps |
Precision |
Value
The projection of x onto B_1(a) \cap B_2 \cap M^\perp.
Examples
1 | proj12orth(1:10, a=10, M=normalize(rnorm(10)))
|
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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