log_cholesky_unvec: Compute the Log-Cholesky Inverse Vectorization
In riemtan: Riemannian Metrics for Symmetric Positive Definite Matrices
log_cholesky_unvec R Documentation
Compute the Log-Cholesky Inverse Vectorization
Description
Compute the Log-Cholesky Inverse Vectorization
Usage
log_cholesky_unvec(sigma, w)
Arguments
sigma
A symmetric positive-definite matrix of class dppMatrix
w
A numeric vector representing the vectorized tangent image
Value
A symmetric matrix of class dspMatrix
riemtan documentation built on June 8, 2025, 9:39 p.m.
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| log_cholesky_unvec | R Documentation |
Compute the Log-Cholesky Inverse Vectorization
Description
Compute the Log-Cholesky Inverse Vectorization
Usage
log_cholesky_unvec(sigma, w)
Arguments
sigma |
A symmetric positive-definite matrix of class |
w |
A numeric vector representing the vectorized tangent image |
Value
A symmetric matrix of class dspMatrix
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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