||Least-squares imaging and deconvolution using the hybrid norm conjugate-direction solver||
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To retrieve a sparse model, we applied the hybrid norm
conjugate-direction (HBCD) solver proposed by
Claerbout to two interesting geophysical problems: least-squares imaging and blind deconvolution. The results showed that
this solver is robust for generating sparse models.