A stochastic procedure to solve linear ill-posed problems

DOI10.1080/03610926.2015.1019153zbMath1366.65059OpenAlexW2319296616MaRDI QIDQ2979623

Fouad Maouche, Abdelnasser Dahmani, Nadji Rahmania

Publication date: 25 April 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1019153

zbMATH Keywords

numerical exampleHilbert spacesill-posed problemdeconvolutionlinear inverse problemsstochastic algorithms, Robbins-Monro algorithm

Mathematics Subject Classification ID

Numerical solutions to equations with linear operators (65J10) Linear operators and ill-posed problems, regularization (47A52) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items

Robbins-Monro algorithm with \(\psi\)-mixing random errors

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