Lectures will be held in Room 114 (first floor), Department of Mathematics, IIT Bombay, from 9:15 am.
Adi Adimurthi: Functional Analytic Foundations for Gradient Flows and PDEs
Amit Apte: Introduction to data assimilation and inverse problems
Tuhin Ghosh: Chasing Equilibrium: Fokker-Planck Dynamics and Lyapunov Methods
Harsha Hutridurga: Discretizing Flows: From Implicit Euler Schemes to Optimal Transport Geometry
Debabrata Karmakar: Optimal Transport and the Wasserstein Geometry: Foundations and Convexity
Suresh Kumar: From Markov Chains to Jump Processes: Generators, Martingales, and Path Space
Saikat Mazumdar: A Finite-Dimensional Warm-Up to Gradient Flows
Parthanil Roy: From Weak Convergence to Large Deviations: A Romance Between Analysis and Probability
Barun Sarkar: Propagation of Chaos: McKean's Interacting Diffusion Model
Swarnendu Sil: Convexity, Γ-Convergence, and Gradient Flows: The Variational Toolkit