Lecture
Response Theory and Phase Transitions
Related lectures (31)
Mean Field Theory: Stochastic Analysis and Applications
Explores classical mean field theory, local interactions, and examples like individual-based SIR models and raindrop formation.
Convergence Criteria
Covers the convergence criteria for sequences, including operations on limits and sequences defined by recurrence.
Introduction to Quantum Chaos
Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.
Probabilistic Description of Turbulence
Explores the stochastic nature of turbulence and the challenges in predicting its behavior accurately.
Optimal Distributed Control: Projected GD for Locally Optimal Controllers
Covers optimal distributed control using Gradient Descent to achieve locally optimal controllers in large-scale systems.
Stochastic Models for Communications: Continuous-Time Stochastic Processes
Covers continuous-time stochastic processes and linear systems.
Efficient Stochastic Numerical Methods
Explores efficient stochastic numerical methods for modeling and learning, covering topics like the Analytical Engine and kinase inhibitors.
Signals and Systems: Introduction
Introduces the fundamental concepts of Signals and Systems course, emphasizing practical applications of system behavior analysis.
Electric Motors: Principles and Applications
Explores electric motor principles, linearity, control systems, active suspensions, and Laplace transforms.
Urban Sprawl: Past, Present, and Future
Explores the historical evolution and challenges of urban sprawl, emphasizing the need for sustainable urban planning solutions.