| | \n\n \n \n \n bool adj=n [y/n] | \tadjoint flag \n | \n \n\n \n \n \n float dip0d= | \tdip0 sampling (if adj=y) \n | \n \n\n \n \n \n int dip0n= | \tnumber of dip0 values (if adj=y) \n | \n \n\n \n \n \n float dip0o= | \tdip0 origin (if adj=y) \n | \n \n\n \n \n \n float dipd= | \toffset sampling \n | \n \n\n \n \n \n int dipn= | \tnumber of offsets \n | \n \n\n \n \n \n float dipo= | \toffset origin \n | \n \n\n \n \n \n string dweight= | \tinput file containing data weights (auxiliary input file name) \n | \n \n\n \n \n \n float eps=0. | \tregularization parameter \n | \n \n\n \n \n \n int invMod=2 | \tnumber of nonlinear iterations (for inversion) \n | \n \n\n \n \n \n bool isAA=n [y/n] | \tif y, apply anti-aliasing \n | \n \n\n \n \n \n int liter=100 | \tnumber of linear iterations (for inversion) \n | \n \n\n \n \n \n int niter=0 | \tnumber of nonlinear iterations (for inversion) \n | \n \n\n \n \n \n file reflMod= | \tauxiliary output file name \n | \n \n\n \n \n \n bool verb=n [y/n] | \tverbosity flag \n | \n \n\n \n \n \n float xid= | \txi sampling (if adj=y) \n | \n \n\n \n \n \n int xin= | \tnumber of xi values (if adj=y) \n | \n \n\n \n \n \n float xio= | \txi origin (if adj=y) \n | \n \n |