In this paper we consider discrete inverse problems for which noise becomes negligible compared to data with increasing model norm. We introduce two novel definitions of regularization for ...
Computational Inverse Problems are all about the application. The driving question is how to extend the thorough theory of an Inverse Problem to an algorithm, which can be implemented and ultimately ...
Jadamba, Baasansuren, et al. "Analyzing the Role of Inf-Sup Condition in Inverse Problems for Saddle Point Problems with Applications in Elasticity Imaging." Optimization 69. 12 (2020): 2577--2610.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results