An alternating iterative minimisation algorithm for the double-regularised total least square functional

DOI10.1088/0266-5611/31/7/075004zbMath1339.65055OpenAlexW1535186474MaRDI QIDQ5500810

Ronny Ramlau, Ismael Rodrigo Bleyer

Publication date: 10 August 2015

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

Full work available at URL: https://doi.org/10.1088/0266-5611/31/7/075004

zbMATH Keywords

waveletsalgorithmconvergenceill-posed problemsnumerical resultnoisy operatorsubderivativesalternating minimisationregularised total least squares

Mathematics Subject Classification ID

Numerical solutions to overdetermined systems, pseudoinverses (65F20) Iterative numerical methods for linear systems (65F10) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items (5)

A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring ⋮ Automatic alignment for three-dimensional tomographic reconstruction ⋮ Joint super-resolution image reconstruction and parameter identification in imaging operator: analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging ⋮ Local search methods for the solution of implicit inverse problems ⋮ Total least squares problems on infinite dimensional spaces

This page was built for publication: An alternating iterative minimisation algorithm for the double-regularised total least square functional