9 citations · 10 across the 6 of their papers we have counts for
6 papers
Reconstructing the system coefficients for coupled harmonic oscillators
Jan Bartsch, Ahmed A. Barakat, Simon Buchwald +3
Physical models often contain unknown functions and relations. In order to gain more insights into the nature of physical processes, these unknown functions have to be identified o…
Reconstruction of unknown monotone nonlinear operators in semilinear elliptic models using optimal inputs
Jan Bartsch, Simon Buchwald, Gabriele Ciaramella +1
Physical models often contain unknown functions and relations. The goal of our work is to answer the question of how one should excite or control a system under consideration in an…
A code for the reconstruction of spin distribution
S. Buchwald, G. Ciaramella, J. Salomon +1
In Nuclear Magnetic Resonance (NMR), it is of crucial importance to have an accurate knowledge of the sample probability distribution corresponding to inhomogeneities of the magnet…
Gauss-Newton oriented greedy algorithms for the reconstruction of operators in nonlinear dynamics
S. Buchwald, G. Ciaramella, J. Salomon
This paper is devoted to the development and convergence analysis of greedy reconstruction algorithms based on the strategy presented in [Y. Maday and J. Salomon, Joint Proceedings…
A greedy reconstruction algorithm for the identification of spin distribution
S. Buchwald, G. Ciaramella, J. Salomon +1
We propose a greedy reconstruction algorithm to find the probability distribution of a parameter characterizing an inhomogeneous spin ensemble in Nuclear Magnetic Resonace. The ide…
Analysis of a greedy reconstruction algorithm
S Buchwald, G Ciaramella, Julien Salomon
A novel and detailed convergence analysis is presented for a greedy algorithm that was previously introduced for operator reconstruction problems in the field of quantum mechanics.…