All-at-once versus reduced version of Landweber-Kaczmarz for parameter identification in time dependent problemsMS6

A large number of inverse problems in applications ranging from engineering via economics to systems biology can be formulated as a state space system with a finite or infinite dimensional parameter that is supposed to be identified from additional continuous or discrete observations. In this talk we will compare reduced and all-at-once versions of Landweber-Kaczmarz iteration for a reformulation of the problem as a system resulting from splitting the time line into subintervals.

This presentation is part of Minisymposium “MS6 - Time-dependent problems in imaging (2 parts)
organized by: Thomas Schuster (Saarland University) , Anne Wald (Saarland University) .

Tram Thi Ngoc Nguyen (Alpen-Adria-Universität Klagenfurt)