Description Usage Arguments Details Value Note
Calculates the error curve for a list of matrices
| 1 | error_curve(Hat.list, Star = NULL)
 | 
| Hat.list | a list of matrices (each dimension m-by-n) representing the iterates of an optimization algorithm | 
| Star | matrix (m-by-n) representing the ground truth (optional) | 
Given a list of matrices representing iterates of some optimization
algorithm and an optional "ground truth" matrix Star, this
function calculates the "error curve", which is the Frobenius norm
between each iterate and (1) the final iterate (if Star is
not specified) or (2) the ground truth (if Star is specified).
An error curve (numeric vector).
See also tsmvr_solve and
plot_error_curve.
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