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bool adj=n [y/n] | adjoint flag (for what=linear)
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float eps=0. | regularization parameter
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string gradient= | auxiliary output file name
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bool l1norm=n [y/n] | norm for minimization (default L2 norm)
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string misnorm= | auxiliary output file name
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int nfreq=1 | l1-norm weighting nfreq
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int niter=10 | number of slowness inversion iterations
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int nmem=1 | l1-norm weighting nmem
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int order=2 | fast marching accuracy order
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string receiver= | auxiliary input file name
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string record= | auxiliary input file name
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string shot= | auxiliary input file name
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int stiter=200 | number of step iterations
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string time= | auxiliary input file name
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string topo= | auxiliary input file name
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bool velocity=y [y/n] | if y, the input is velocity; n, slowness squared
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bool verb=n [y/n] | verbosity flag
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string what= | what to compute (default tomography)
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