On a Dynamic Variant of the Iteratively Regularized Gauss–Newton Method with Sequential Data
(2023)
Journal Article
For numerous parameter and state estimation problems, assimilating new data as they become available can help produce accurate and fast inference of unknown quantities. While most existing algorithms for solving those kind of ill-posed inverse prob... Read More about On a Dynamic Variant of the Iteratively Regularized Gauss–Newton Method with Sequential Data.