# sfn.control

0th

Percentile

##### Set Control Parameters for Sparse Fitting

Auxiliary function for setting storage dimensions and other parameters rq.fit.sfn[c]

Keywords
utilities
##### 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.

##### 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.

##### Value

List with components named as the arguments given above.

See Also rq.fit.sfn