Date of Award
Summer 2021
Document Type
Thesis
Degree Name
Master of Arts (MA)
Department
Mathematics and Statistics
First Advisor
Vincent Martinez
Second Advisor
Elizabeth Carlson
Academic Program Adviser
Vincent Martinez
Abstract
Recent numerical work of Carlson-Hudson-Larios leverages a nudging-based algorithm for data assimilation to asymptotically recover viscosity in the 2D Navier-Stokes equations as partial observations on the velocity are received continuously-in-time. This "on-the-fly" algorithm is studied both analytically and numerically for the Lorenz equations in this thesis.
Recommended Citation
Ng, Eunice, "Dynamic Parameter Estimation from Partial Observations of the Lorenz System" (2021). CUNY Academic Works.
https://academicworks.cuny.edu/hc_sas_etds/774
Included in
Analysis Commons, Dynamical Systems Commons, Dynamic Systems Commons, Non-linear Dynamics Commons, Numerical Analysis and Computation Commons, Ordinary Differential Equations and Applied Dynamics Commons