log_cholesky_vec: Compute the Log-Cholesky Vectorization
In riemtan: Riemannian Metrics for Symmetric Positive Definite Matrices
log_cholesky_vec R Documentation
Compute the Log-Cholesky Vectorization
Description
Compute the Log-Cholesky Vectorization
Usage
log_cholesky_vec(sigma, v)
Arguments
sigma
A symmetric positive-definite matrix of class dppMatrix
v
A symmetric matrix of class dspMatrix
Value
A numeric vector representing the vectorized tangent image
riemtan documentation built on Nov. 11, 2025, 1:06 a.m.
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| log_cholesky_vec | R Documentation |
Compute the Log-Cholesky Vectorization
Description
Compute the Log-Cholesky Vectorization
Usage
log_cholesky_vec(sigma, v)
Arguments
sigma |
A symmetric positive-definite matrix of class |
v |
A symmetric matrix of class |
Value
A numeric vector representing the vectorized tangent image
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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