Data Errors and an Error Estimation for Ill-Posed Problems

By Anatoly Yagola, Alexander S. Leonov, V. Titarenko. 2002

48 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mathematical Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/dc63539a77e5e8ad58fe2fee215fc81879d0718d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Michael I. Friswell

In Mathematical Physics

1. Michael I. Friswell
2. Mark A. Lukas
3. Frank Bauer
4. B. Titurus
5. Lorenzo Rosasco

In Statistics and Probability

1. Michael I. Friswell
2. Mark A. Lukas
3. Frank Bauer
4. B. Titurus
5. J. Mottershead
6. H. H. Khodaparast

Citations in the corpus

• Comparing parameter choice methods for regularization of ill-posed problems (2011, background): “However, it is known theoretically that the L-curve method (from [75]) has serious limitations [41, 146].”
• Regularization in model updating (2008, background): “Equation (4) represents the idealized case of model updating, which is, in general, an ill-posed problem [2].”