b'\n \n \n
 
\n  
sfiwiiter0 (4.0)
index
user/sparse/Miwiiter0.c
\n Image-domain waveform tomography. \n

\n \n \n \n \n \n
 
\n Synopsis
       sfiwiiter0 < in.rsf > out.rsf model=model.rsf us=us.rsf ur=ur.rsf weight=weight.rsf precon=precon.rsf miter=miter.rsf riter=riter.rsf verb=n nh=0 uts=0 npml=10 mass=n cgiter=10 shape=n reg=0. tol=1.e-6 rect1=1 rect2=1 order=
\n

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\n Parameters
       \n \n \n
\n  
int cgiter=10
\tnumber of conjugate-gradient iterations
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\n  
bool mass=n [y/n]
\tif y, use discretization-based mass term
\n
\n \n\n \n \n
\n  
string miter=
\tauxiliary output file name
\n
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\n  
string model=
\tauxiliary input file name
\n
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\n  
int nh=0
\thorizontal space-lag
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\n \n\n \n \n
\n  
int npml=10
\tPML width
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\n  
string order=
\tdiscretization scheme (default optimal 9-point)
\n
\n \n\n \n \n
\n  
string precon=
\tauxiliary input file name
\n
\n \n\n \n \n
\n  
int rect1=1
\tsmoothing radius on axis 1
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\n \n\n \n \n
\n  
int rect2=1
\tsmoothing radius on axis 2
\n
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\n  
float reg=0.
\tregularization parameter
\n
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\n  
file riter=
\tauxiliary output file name
\n
\n \n\n \n \n
\n  
bool shape=n [y/n]
\tregularization (default Tikhnov)
\n
\n \n\n \n \n
\n  
float tol=1.e-6
\ttolerance for shaping regularization
\n
\n \n\n \n \n
\n  
string ur=
\tauxiliary input file name
\n
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\n  
string us=
\tauxiliary input file name
\n
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\n  
int uts=0
\tnumber of OMP threads
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\n  
bool verb=n [y/n]
\tverbosity flag
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\n  
string weight=
\tauxiliary input file name
\n
\n \n
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