Jason Bramburger
I am an assistant professor in applied mathematics at Concordia University with a passion for teaching. I am also actively researching at the interface of dynamical systems, machine learning, and computation. I have broad interests in the application of dynamical systems theory, including pattern formation, chaos theory, and data analysis. I received my PhD in applied mathematics from the University of Ottawa in 2017 under the supervision of Benoit Dionne and Victor LeBlanc. I have also held postdoctoral fellowships at Brown University, the University of Victoria, and the University of Washington. I was named a fellow of the Institute of Advanced Study in Guildford, UK for the 2021-2022 academic year.
Структурная устойчивость – Теория хаоса | Лекция 7
Что такое хаос? - Теория хаоса | Лекция 6
Символическая динамика фрактальных множеств – Теория хаоса | Лекция 5
Символическая динамика – Теория хаоса | Лекция 4
Фракталы и логистическая карта — Теория хаоса | Лекция 3
Гиперболичность — Теория хаоса | Лекция 2
Основы карт – Теория хаоса | Лекция 1
Добро пожаловать — Теория хаоса | Вводная лекция
Model Discovery with Autoencoders - Data-Driven Dynamics | Lecture 27
Learning Action Angle Coordinates - Data-Driven Dynamics | Lecture 26
Koopman Neural Networks - Data-Driven Dynamics | Lecture 25
Learning Normal Forms - Data-Driven Dynamics | Lecture 24
Autoencoder Neural Networks - Data-Driven Dynamics | Lecture 23
Topological Conjugacies - Data-Driven Dynamics | Lecture 22
Model Discovery with Physics-Informed Machine Learning - Data-Driven Dynamics | Lecture 21
Physics-Informed Neural Networks - Data-Driven Dynamics | Lecture 20
Forecasting with Neural Networks - Data-Driven Dynamics | Lecture 19
Neural Networks - Data-Driven Dynamics | Lecture 18
Universal Function Approximations - Data-Driven Dynamics | Lecture 17
Discovering Invariant Measures - Data-Driven Dynamics | Lecture 16
Learning Control Laws - Data-Driven Dynamics | Lecture 15
Lyapunov Functions from Data - Data-Driven Dynamics | Lecture 14
Polynomial Sum-of-Squares - Data-Driven Dynamics | Lecture 13
Lyapunov and Auxiliary Functions - Data-Driven Dyanmics | Lecture 12
Discovering Conserved Quantities - Data-Driven Dynamics | Lecture 11
Data-Driven Averaging - Data-Driven Dynamics | Lecture 10
Stroboscopic and Poincaré Maps - Data-Driven Dynamics | Lecture 9
The SINDy Method - Data-Driven Dynamics | Lecture 8
The Kernel Trick - Data-Driven Dynamics | Lecture 7
Approximating the Koopman Operator - Data-Driven Dynamics | Lecture 6