IQC student seminar featuring Carlos Pascual

Carlos Pascual

Location: QNC 1201

Nonlinear optimization programs based on linear and convex functions can be efficiently solved via numerical methods thanks to the so-called convex optimization framework. This formalism finds applications in fields like finance, aerospace engineering, and quantum technologies. With this seminar, we will explore the principles of convex optimization, including duality, KKT conditions, and barrier functions. This discussion is followed by an introduction to conic programming, a subfield that leverages intuitive geometric notions to efficiently perform convex optimization.