Conditional expectations occur in the description of optimal solutions in a number of stochastic optimization problems as optimal stopping, reinforcement learning, stochastic optimal control etc. When the …

In this talk, I’ll discuss the computation of excited states for some nonlinear Schrödinger equations. Typically, these states can be understood as critical points of the energy associated to the equation when the …

In this talk we will survey the notion of a relative Calabi-Yau structure on a linear stable infinity-category and how examples of such relative Calabi-Yau structures naturally arise from categorified perverse …

In this presentation, we will provide an introduction to error-correcting codes, offering foundational examples and discussing their properties. While basic definitions serve as a starting point, they have their …

In recent years, there has been growing interest in finding examples of vector fields having univalued solutions and exhibiting complicated dynamics. Though the phrase "complicated dynamics" is slightly vague, it is …