sfn.control: Set Control Parameters for Sparse Fitting
Description
Auxiliary function for setting storage dimensions and other parameters rq.fit.sfn[c]Usage
sfn.control(nsubmax = NULL, tmpmax = NULL, nnzlmax = NULL, cachsz = 64, small = 1e-06, maxiter = 100, warn.mesg = TRUE)
Arguments
nsubmax
upper bound for dimension of lindx
tmpmax
upper bound for dimension of tmpvec
nnzlmax
upper bound for non-zero entries of L stored in lnz, including diagonal
cachsz
size of cache in kbytes on target machine
small
convergence tolerance for interior point algorithm
maxiter
maximal number of interior point iterations.
warn.mesg
logical flag controlling printing of warnings.
Value
- List with components named as the arguments given above.
Details
Sparse fitting requires a number of temporary storage arrays whose size depends
on problem specific features in somewhat mysterious ways, parameters controlling
these sizes and some other fitting aspects can be controlled by specifying elements
of this control object.