Data Errors and an Error Estimation for Ill-Posed Problems
Author:
Affiliation:
1. a Department of Mathematics, Faculty of Physics , Moscow State University , Moscow , 119899 , Russia
2. b Department of Mathematics , Moscow Engineering Physics Institute , Kashirskoe Shosse 31, Moscow , 115409 , Russia
Publisher
Informa UK Limited
Subject
Applied Mathematics,Engineering (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/10682760290031195
Reference20 articles.
1. Numerical Methods for the Solution of Ill-Posed Problems
2. Nonlinear Ill-Posed Problems
3. Special regularizing methods for ill-posed problems with sourcewise represented solutions
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