Toward Global Convergence for Strongly Nonlinear Ill-Posed Problems via a Regularizing Multilevel Approach
Author:
Affiliation:
1. a Department of Sensor Technology , University of Erlangen , Erlangen , Germany
Publisher
Informa UK Limited
Subject
Control and Optimization,Computer Science Applications,Signal Processing,Analysis
Link
https://www.tandfonline.com/doi/pdf/10.1080/01630560600790835
Reference44 articles.
1. Error bounds of discretization methods for boundary integral equations with noisy data
2. On Weakly Nonlinear Inverse Problems
3. A convergence analysis of iterative methods for the solution of nonlinear ill-posed problems under affinely invariant conditions
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