s2Fista | R Documentation |
This is a very simple function that supplies the hyper-parameters for the Fast Iterative Soft-Threshold Algorithm (FISTA) that solves the s2net
minimization problem.
s2Fista(MAX_ITER_INNER = 5000, TOL = 1e-07, t0 = 2, step = 0.1, use_warmstart = FALSE)
MAX_ITER_INNER |
Number of iterations of FISTA |
TOL |
The relative tolerance. The algorith stops when the objective does not improve more than |
t0 |
The initial stepsize for backtracking. |
step |
The scale factor in the stepsize to backtrack until a valid step is found. |
use_warmstart |
Should we use a warm |
Returns an object of S3 class s2Fista
with the input arguments as fields.
Beck, A., & Teboulle, M. (2009). A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM journal on imaging sciences, 2(1), 183-202. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1137/080716542")}
s2Params
, s2Data
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