Two new non-negativity preserving iterative regularization methods for ill-posed inverse problems-Reference-Cited by-同舟云学术

Two new non-negativity preserving iterative regularization methods for ill-posed inverse problems

Published:2021 Issue:2 Volume:15 Page:229-256
ISSN:1930-8345
Container-title:Inverse Problems & Imaging
language:
Short-container-title:IPI

Author:

Zhang Ye¹²,Hofmann Bernd³

Affiliation:

1. School of Mathematics and Statistics, Beijing Institute of Technology, 100081 Beijing, China

2. Shenzhen MSU-BIT University, 518172 Shenzhen, China

3. Faculty of Mathematics, Chemnitz University of Technology, Reichenhainer Str. 39/41, 09107 Chemnitz, Germany

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Control and Optimization,Discrete Mathematics and Combinatorics,Modelling and Simulation,Analysis,Control and Optimization,Discrete Mathematics and Combinatorics,Modelling and Simulation,Analysis

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