Riemannian geometry of matrix manifolds for Lagrangian uncertainty quantification of stochastic fluid flows
Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2017.
Main Author: | Feppon, Florian (Florian Jeremy) |
---|---|
Other Authors: | Pierre F.J. Lermusiaux. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/111041 |
Similar Items
-
Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport
by: Feppon, Florian Jeremy, et al.
Published: (2018) -
Projection-free nonconvex stochastic optimization on Riemannian manifolds
by: Weber, Melanie, et al.
Published: (2022) -
The Extrinsic Geometry of Dynamical Systems Tracking Nonlinear Matrix Projections
by: Feppon, Florian Jeremy, et al.
Published: (2020) -
On convexity in product of Riemannian manifolds
by: Saleh, Wedad, et al.
Published: (2016) -
On the conjugate locus of a Riemannian manifold.
by: Dos Santos, Nathan Moreira.
Published: (2023)