Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: In recent years, there has been an increasing interest in uncertainty optimization problems. Fuzzy optimization is one of the methods to study real world uncertainty problems, which contain ...

Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...

Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

From drug discovery and education to economics and earth science, SMU researchers are using AI to tackle a wide range of real-world challenges. SMU’s high-performance computing capabilities — made up ...

Schools are struggling to get chronic absenteeism to pre-pandemic levels, five years after it spiked during COVID-19. Chronic absenteeism is defined as missing more than 10 percent of school days.

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...