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most citedConvergence rates in -regularization if the sparsity assumption fails

28 citations · 59 across the 10 of their papers we have counts for

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math.NA2017

A converse result for Banach space convergence rates in Tikhonov-type convex regularization of ill-posed linear equations

Jens Flemming

We consider Tikhonov-type variational regularization of ill-posed linear operator equations in Banach spaces with general convex penalty functionals. Upper bounds for certain error…

math.NA2017

There always is a variational source condition for nonlinear problems in Banach spaces

Jens Flemming

Variational source conditions proved useful for deriving convergence rates for Tikhonov's regularization method and also for other methods. Up to now such conditions have been veri…

math.NA2013★ 1 cited

Convergence rates in -regularization when the basis is not smooth enough

Jens Flemming, Markus Hegland

Sparsity promoting regularization is an important technique for signal reconstruction and several other ill-posed problems. Theoretical investigation typically bases on the assumpt…

math.NA2012★ 28 cited

Convergence rates in -regularization if the sparsity assumption fails

Martin Burger, Jens Flemming, Bernd Hofmann

Variational sparsity regularization based on -norms and other nonlinear functionals has gained enormous attention recently, both with respect to its applications and its ma…

math.NA2009★ 4 cited

A new approach to source conditions in regularization with general residual term

Jens Geissler, Bernd Hofmann

This paper addresses Tikhonov like regularization methods with convex penalty functionals for solving nonlinear ill-posed operator equations formulated in Banach or, more general,…