Convergence Analysis of Asymptotical Regularization and Runge-Kutta Integrators for Linear Inverse Problems under Variational Source Conditions-Reference-Cited by-同舟云学术

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Convergence Analysis of Asymptotical Regularization and Runge-Kutta Integrators for Linear Inverse Problems under Variational Source Conditions

Published:2020-06 Issue:4 Volume:1 Page:693-714
ISSN:2708-0560
Container-title:CSIAM Transactions on Applied Mathematics
language:
Short-container-title:CSIAM-AM

Author:

Zhao Yubin

Publisher

Global Science Press

Subject

General Medicine

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Iterative Runge-Kutta-Type Methods with Convex Penalty for Inverse Problems in Hilbert Spaces;CSIAM Transactions on Applied Mathematics;2023-06

2. Stochastic asymptotical regularization for linear inverse problems;Inverse Problems;2022-12-09

3. On the asymptotical regularization with convex constraints for nonlinear ill-posed problems;Applied Mathematics Letters;2022-11

4. Modeling a Spheroidal Particle Ensemble and Inversion by Generalized Runge–Kutta Regularizers from Limited Data;AppliedMath;2022-10-10

5. An asymptotical regularization with convex constraints for inverse problems;Inverse Problems;2022-03-08

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