Huiyi Cao and Kamil Khan to receive JOGO Best Paper Award

MACC alum Huiyi Cao and Dr. Kamil Khan have been selected as 2024 winners of the annual Journal of Global Optimization Best Paper Award, in recognition of their article entitled General convex relaxations of implicit functions and inverse functions. This article presented a new framework for bounding quantities that are only implicitly accessible as the solutions of nonlinear equations, such as van der Waals equation of state in thermodynamics. Compared to previous approaches, Cao and Khan's framework is simple, versatile, and computationally inexpensive to implement, and produces tight bounds in practice.
An open-access preprint of this article is available at MacSphere.