Sparse inversion simplified

TitleSparse inversion simplified
Publication TypeSINBAD Presentation
AuthorsNing Tu, Navid Ghadermarzy, Rajiv Kumar, Felix J. Herrmann
Year of Publication2014

Implementation of the SPGl1 solver in low-level computer languages such as C or Fortran may sound daunting to many. This talk is tailored for you if you would like to reap benefits from using sparse constraints to regularize your inversion problem, and at the same time want some easy-to-implement algorithm to solve it. We discuss in this talk the linearized Bregman projection method that embraces both ingredients, and show promising applications in fast least-squares imaging and seismic data interpolation problems.

KeywordsPresentation, private, SINBAD, SINBADFALL2014, SLIM
Citation Keytu2014SINBADsis