log_cholesky_log: Compute the Log-Cholesky Logarithm

In riemtan: Riemannian Metrics for Symmetric Positive Definite Matrices

Compute the Log-Cholesky Logarithm

Description

This function computes the Riemannian logarithmic map using the Log-Cholesky metric for symmetric positive-definite matrices. The Log-Cholesky metric operates by transforming matrices via their Cholesky decomposition.

Usage

log_cholesky_log(sigma, lambda)

Arguments

sigma	A symmetric positive-definite matrix of class dppMatrix, representing the reference point.
lambda	A symmetric positive-definite matrix of class dppMatrix, representing the target point.

Value

A symmetric matrix of class dspMatrix, representing the tangent space image of lambda at sigma.

riemtan documentation built on June 8, 2025, 9:39 p.m.