Bregman itoh-abe methods for sparse optimisation

HIGHLIGHTS

  • who: Martin Benning from the School of Mathematical Sciences, Queen Mary University of London, London, UK have published the Article: Bregman Itoh-Abe Methods for Sparse Optimisation, in the Journal: (JOURNAL)
  • what: The authors propose methods for variational regularisation problems based on discretising the flow with discrete gradient methods. flow generalises gradient flows by incorporating a generalised distance as the underlying metric. The authors propose and study optimisation schemes by using tools from geometric numerical integration to solve the inverse scale space (ISS) flow. The authors propose to discretise the inverse scale space flow with . . .

     

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