Explores the history, theory, and applications of optimal transport in various fields, showcasing its importance in solving complex mathematical problems.
Provides an overview of differential equations, their properties, and methods for finding solutions through various examples and graphical representations.
Explores gradient descent methods for smooth convex and non-convex problems, covering iterative strategies, convergence rates, and challenges in optimization.
