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\n Synopsis
		sfmpignfwi Fvel=Fv.rsf Fwavelet=Fw.rsf output=Fdat.rsf output=Finv.rsf Ferr=Ferr.rsf Fmod=Fmod.rsf Fgrad=Fgrad.rsf function=2 verb=n nb=100 coef=0.002 acqui_type=1 ns= ds= s0= sz=3 nr=acpar->nx dr=acpar->dx r0=acpar->x0 rz=3 fhi=0.5/acpar->dt flo=0. frectx=2 frectz=2 onlygrad=n wt1=acpar->t0 wt2=acpar->t0+(acpar->nt-1)*acpar->dt woff1=acpar->r0 woff2=acpar->r0+(acpar->nr-1)*acpar->dr gain=1 waterz=51 grectx=3 grectz=3 drectx=1 drectz=1 nrepeat=1 tangent=0 sigma1=-1 sigma2=-1 v1=0. v2=10. lniter=10 niter= conv_error= nls=20 factor=10 repeat=5 err_type=0

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\n Parameters
		\n \n \n \n   file Ferr= \tauxiliary output file name \n \n \n\n \n \n \n   file Fgrad= \tauxiliary output file name \n \n \n\n \n \n \n   file Fmod= \tauxiliary output file name \n \n \n\n \n \n \n   file Fvel= \tauxiliary input file name \n \n \n\n \n \n \n   file Fwavelet= \tauxiliary input file name \n \n \n\n \n \n \n   int acqui_type=1 \tif 1, fixed acquisition; if 2, marine acquisition; if 3, symmetric acquisition \n \n \n\n \n \n \n   float coef=0.002 \tabsorbing boundary coefficient \n \n \n\n \n \n \n   float conv_error= \tfinal convergence error \n \n \n\n \n \n \n   float dr=acpar->dx \treceiver interval \n \n \n\n \n \n \n   int drectx=1 \tsmoothing kernel radius in x \n \n \n\n \n \n \n   int drectz=1 \tsmoothing kernel radius in z \n \n \n\n \n \n \n   float ds= \tshot interval \n \n \n\n \n \n \n   int err_type=0 \tif 0, true misfit function; if 1, both smoothing kernel and original L2 norm misfits \n \n \n\n \n \n \n   float factor=10 \tstep length increase factor \n \n \n\n \n \n \n   float fhi=0.5/acpar->dt \thigh frequency in band, default is Nyquist \n \n \n\n \n \n \n   float flo=0. \tlow frequency in band, default is zero \n \n \n\n \n \n \n   int frectx=2 \tsource smoothing in x \n \n \n\n \n \n \n   int frectz=2 \tsource smoothing in z \n \n \n\n \n \n \n   int function=2 \tif 1, forward modeling; if 2, FWI \n \n \n\n \n \n \n   float gain=1 \tvertical gain power of data residual \n \n \n\n \n \n \n   int grectx=3 \tgradient smoothing radius in x \n \n \n\n \n \n \n   int grectz=3 \tgradient smoothing radius in z \n \n \n\n \n \n \n   int lniter=10 \tCG iteration number \n \n \n\n \n \n \n   int nb=100 \tboundary width \n \n \n\n \n \n \n   int niter= \titeration number \n \n \n\n \n \n \n   int nls=20 \tline search number \n \n \n\n \n \n \n   int nr=acpar->nx \tnumber of receiver \n \n \n\n \n \n \n   int nrepeat=1 \tsmoothing kernel repeat number \n \n \n\n \n \n \n   int ns= \tshot number \n \n \n\n \n \n \n   bool onlygrad=n [y/n] \tonly calculate gradident or not \n \n \n\n \n \n \n   file output= \tauxiliary output file name \n \n \n\n \n \n \n   float r0=acpar->x0 \treceiver origin \n \n \n\n \n \n \n   int repeat=5 \tafter how many iterations the step length goes back to 1 \n \n \n\n \n \n \n   int rz=3 \treceiver depth \n \n \n\n \n \n \n   float s0= \tshot origin \n \n \n\n \n \n \n   float sigma1=-1 \tsmoothing kernel radius moving step in z \n \n \n\n \n \n \n   float sigma2=-1 \tsmoothing kernel radius moving step in x \n \n \n\n \n \n \n   int sz=3 \tsource depth \n \n \n\n \n \n \n   int tangent=0 \tif 1, calculate prediction corrector \n \n \n\n \n \n \n   float v1=0. \tlower limit of estimated velocity \n \n \n\n \n \n \n   float v2=10. \tupper limit of estimated velocity \n \n \n\n \n \n \n   bool verb=n [y/n] \tverbosity flag \n \n \n\n \n \n \n   int waterz=51 \twater layer depth \n \n \n\n \n \n \n   float woff1=acpar->r0 \twindow data residual: rmin \n \n \n\n \n \n \n   float woff2=acpar->r0+(acpar->nr-1)*acpar->dr \twindow data residual: rmax \n \n \n\n \n \n \n   float wt1=acpar->t0 \twindow data residual: tmin \n \n \n\n \n \n \n   float wt2=acpar->t0+(acpar->nt-1)*acpar->dt \twindow data residual: tmax \n \n \n

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