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20092023
most citedTikhonov regularization with oversmoothing penalty for non-linear ill-posed problems in Hilbert scales

41 citations · 324 across the 37 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

math.NA2018★ 32 cited

On fractional asymptotical regularization of linear ill-posed problems in Hilbert spaces

Ye Zhang, Bernd Hofmann

In this paper, we study a fractional-order variant of the asymptotical regularization method, called {\it Fractional Asymptotical Regularization (FAR)}, for solving linear ill-pose…

math.NA2018★ 1 cited

On the singular value decomposition of n-fold integration operators

Ronny Ramlau, Christoph Koutschan, Bernd Hofmann

In theory and practice of inverse problems, linear operator equations with compact linear forward operators having a non-closed range and mapping betwee…

math.NA2018

Tikhonov regularization with l^0-term complementing a convex penalty: l^1 convergence under sparsity constraints

Wei Wang, Shuai Lu, Bernd Hofmann +1

Measuring the error by an l^1-norm, we analyze under sparsity assumptions an l^0-regularization approach, where the penalty in the Tikhonov functional is complemented by a general…

math.NA2018★ 28 cited

Tikhonov regularization in Hilbert scales under conditional stability assumptions

Herbert Egger, Bernd Hofmann

Conditional stability estimates allow us to characterize the degree of ill-posedness of many inverse problems, but without further assumptions they are not sufficient for the stabl…

math.NA2018

Convergence rates of a penalized variational inequality method for nonlinear monotone ill-posed equations in Hilbert spaces

Robert Plato, Bernd Hofmann

We consider perturbed nonlinear ill-posed equations in Hilbert spaces, with operators that are monotone on a given closed convex subset. A simple stable approach is Lavrentiev regu…

math.NA2018★ 4 cited

Penalty-based smoothness conditions in convex variational regularization

Bernd Hofmann, Stefan Kindermann, Peter Mathé

The authors study Tikhonov regularization of linear ill-posed problems with a general convex penalty defined on a Banach space. It is well known that the error analysis requires sm…