filmov
tv
Koopmanism for dynamical systems on completely regular spaces
Показать описание
Speaker: Henrik Kreidler
OPSO Conference 2021
NRU HSE-NN
Dynamical Systems and Applications Laboratory
Рекомендации по теме
0:33:26
Koopmanism for dynamical systems on completely regular spaces
0:27:24
SIAM DS21: Igor Mezić - Koopman Operator, Geometry, and Learning of Dynamical Systems
0:01:45
Predicting Chaotic Dynamical Systems Using Koopman Theory
0:27:18
Dynamical System Inner Products and Projections with Liouville Operators (Koopman Generators)
0:28:43
Robust Prediction of High-Dimensional Dynamical Systems using Koopman Deep Networks
1:32:06
Erik Bollt: Geometry and Good Dictionaries for Koopman Analysis of Dynamical Systems
2:10:49
A2IR2 Seminar 2 - Modal Description of Nonlinear Dynamical Systems with Koopman Operator Theory
0:23:09
SIAM DS21: Yoshihiko Susuki - Koopman Resolvent for Nonlinear Dynamical Systems
0:48:43
Massimiliona Pontil - Learning Dynamical Systems Via Koopman Operator Regression | ML in PL 23
1:05:38
ME203Lecture1:Introduction
0:15:12
The Parable of Koopman Modes in Koopman Theory
0:30:29
Geometry and good dictionaries for Koopman analysis of dynamic systems
1:02:32
Omri Azencot: A Koopman Approach to Understanding Sequence Neural Models
0:24:43
Koopman Kernels for Learning Dynamical Systems
0:31:31
Koopman Observable Subspaces & Finite Linear Representations of Nonlinear Dynamics for Control
0:27:49
Koopman Spectral Analysis (Overview)
0:16:34
Residual Dynamic Mode Decomposition: A very easy way to get error bounds for your DMD computations
0:18:30
Estimation of Interactions among Dynamical Elements by Koopman Operator
0:11:39
Part 5: Koopman operator approximations
0:32:19
Spectral Koopman-based approach for analysis and synthesis of control dynamical system
0:16:03
SIAM DS21: Mathias Wanner - Robust Dynamic Mode Decomposition for Random Dynamical Systems
1:05:05
Koopman Operator Theory Based Machine Learning of Dynamical Systems, Igor Mezic
0:15:26
Koopman Spectral Analysis (Control)
0:19:07
Measure-preserving EDMD: A 4-line structure-preserving & convergent DMD algorithm!