The least error method for sparse solution reconstruction

DOI10.1088/0266-5611/32/9/094001zbMath1354.65105arXiv1602.04429OpenAlexW2285154971WikidataQ57561948 ScholiaQ57561948MaRDI QIDQ2832966

Barbara Kaltenbacher, Elena Resmerita, Kristian Bredies

Publication date: 15 November 2016

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1602.04429

zbMATH Keywords

convergenceerror estimateslinear ill-posed problemsregularization methodsparsitysource conditionleast error method

Mathematics Subject Classification ID

Numerical solutions to equations with linear operators (65J10) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52)

Related Items (1)

Sparsity of solutions for variational inverse problems with finite-dimensional data

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