DS17 - MS39-2: Data Assimilation for Geophysical Fluids: Back and Forth Nudging (BFN) and Observers Presentation: Didier Auroux, University of Nice Sophia, Antipolis France, 26 min 50 sec
DS17 - MS39-2: Data Assimilation for Geophysical Fluids: Back and Forth Nudging (BFN) and Observers Document: DS17 - MS39-2: Data Assimilation for Geophysical Fluids: Back and Forth Nudging (BFN) and Observers
DS17 - MS39-3: The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems Presentation: Daniel Sanz-Alonso, Brown University, USA, 26 min 8 sec
DS17 - MS39-3: The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems Document: DS17 - MS39-3: The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems
DS17 - MS39-4: Multilevel Monte Carlo for Data Assimilation via coupling algorithms Presentation: Kody Law, Oak Ridge National Laboratory, USA, 29 min 18 sec
DS17 - MS39-4: Multilevel Monte Carlo for Data Assimilation via coupling algorithms Document: DS17 - MS39-4: Multilevel Monte Carlo for Data Assimilation via coupling algorithms