Steve Brunton: "Dynamical Systems (Part 2/2)"

Steve Brunton: "Dynamical Systems (Part 1/2)"

Динамическая модовая декомпозиция (теория)

Steve Brunton: "Introduction to Fluid Mechanics"

Joshua Speagle - A Brief Introduction to Nested Sampling - IPAM at UCLA

Data Driven Discovery of Dynamical Systems and PDEs

Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

Dynamic Mode Decomposition (Overview)

Yann LeCun: "Energy-Based Self-Supervised Learning"

Igor Mezic: "Koopman Operator Theory for Dynamical Systems, Control and Data Analytics"

Это уравнение изменит ваш взгляд на мир

Data-driven model discovery: Targeted use of deep neural networks for physics and engineering

Andrej Bauer - Formalizing invisible mathematics - IPAM at UCLA

Lagrangian and Hamiltonian Mechanics in Under 20 Minutes: Physics Mini Lesson

Открытие моделей для динамических систем

Divergence and curl: The language of Maxwell's equations, fluid flow, and more

Как строили корабли для мирового господства

Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA

Chaotic Dynamical Systems

System Dynamics: Systems Thinking and Modeling for a Complex World

Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning