CSample                 CSample Class
TangentImageHandler     TangentImageHandler Class
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_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
default_ref_pt          Default reference point
dexp                    Differential of Matrix Exponential Map
dlog                    Differential of Matrix Logarithm Map
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_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_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
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
