| airm | Pre-configured Riemannian metrics for SPD matrices |
| airm_exp | Compute the AIRM Exponential |
| airm_log | Compute the AIRM Logarithm |
| airm_unvec | Compute the Inverse Vectorization (AIRM) |
| airm_vec | Compute the AIRM Vectorization of Tangent Space |
| bures_wasserstein | Pre-configured Riemannian metrics for SPD matrices |
| bures_wasserstein_exp | Compute the Bures-Wasserstein Exponential |
| bures_wasserstein_log | Compute the Bures-Wasserstein Logarithm |
| bures_wasserstein_unvec | Compute the Bures-Wasserstein Inverse Vectorization |
| bures_wasserstein_vec | Compute the Bures-Wasserstein Vectorization |
| compute_frechet_mean | Compute the Frechet Mean |
| CSample | CSample Class |
| default_ref_pt | Default reference point |
| dexp | Differential of Matrix Exponential Map |
| dlog | Differential of Matrix Logarithm Map |
| euclidean | Pre-configured Riemannian metrics for SPD matrices |
| euclidean_exp | Compute the Euclidean Exponential |
| euclidean_log | Compute the Euclidean Logarithm |
| euclidean_unvec | Compute the Inverse Vectorization (Euclidean) |
| euclidean_vec | Vectorize at Identity Matrix (Euclidean) |
| half_underscore | Half-underscore operation for use in the log-Cholesky metric |
| id_matr | Create an Identity Matrix |
| log_cholesky | Pre-configured Riemannian metrics for SPD matrices |
| log_cholesky_exp | Compute the Log-Cholesky Exponential |
| log_cholesky_log | Compute the Log-Cholesky Logarithm |
| log_cholesky_unvec | Compute the Log-Cholesky Inverse Vectorization |
| log_cholesky_vec | Compute the Log-Cholesky Vectorization |
| log_euclidean | Pre-configured Riemannian metrics for SPD matrices |
| log_euclidean_exp | Compute the Log-Euclidean Exponential |
| log_euclidean_log | Compute the Log-Euclidean Logarithm |
| log_euclidean_unvec | Compute the Inverse Vectorization (Euclidean) |
| log_euclidean_vec | Vectorize at Identity Matrix (Euclidean) |
| metric | Metric Object Constructor |
| metrics | Pre-configured Riemannian metrics for SPD matrices |
| relocate | Relocate Tangent Representations to a New Reference Point |
| rspdnorm | Generate Random Samples from a Riemannian Normal Distribution |
| safe_logm | Wrapper for the matrix logarithm |
| spd_isometry_from_identity | Reverse isometry from tangent space at identity to tangent space at P |
| spd_isometry_to_identity | Isometry from tangent space at P to tangent space at identity |
| TangentImageHandler | TangentImageHandler Class |
| validate_conns | Validate Connections |
| validate_exp_args | Validate arguments for Riemannian logarithms |
| validate_log_args | Validate arguments for Riemannian logarithms |
| validate_metric | Validate Metric |
| validate_tan_imgs | Validate Tangent Images |
| validate_unvec_args | Validate arguments for inverse vectorization |
| validate_vec_args | Validate arguments for vectorization |
| validate_vec_imgs | Validate Vector Images |
| vec_at_id | Vectorize at Identity Matrix |