| | | \n\n \n \n \n
bool cut_p=n [y/n] | \tcut off value of precondition
\n | \n \n\n \n \n \n
file dips= | \tauxiliary input file name
\n | \n \n\n \n \n \n
file down= | \tauxiliary input file name
\n | \n \n\n \n \n \n
float eps=0. | \tregularization parameter
\n | \n \n\n \n \n \n
int niter=50 | \tmaximum number of iterations
\n | \n \n\n \n \n \n
int nliter=1 | \tnumber of reweighting iterations
\n | \n \n\n \n \n \n
int order=1 | \taccuracy order
\n | \n \n\n \n \n \n
int reg=0 | \tcut off value of precondition
\n | \n \n\n \n \n \n
bool sparse=y [y/n] | \tif sparse = ture sparse deconvolution cauchy-norm
\n if reg = 0: regularization A = |I|
\n if reg = 1: regularization A = |PWD|
\n if sparse = false 2-norn deconvolution regularization A = ||I||
\n
\n | \n \n\n \n \n \n
bool verb=y [y/n] | \tverbosity flag
\n | \n \n\n \n \n \n
string weight= | \tauxiliary output file name
\n | \n \n |