In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

This project explores and implements a wide range of classical and advanced techniques in the field of numerical analysis and differential equations ... root-finding algorithms, and Laplace transform ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

The course provides a thorough introduction to design, analysis (both theoretical and empirical), and programming of difference and elemental methods to solve differential equations. In addition, the ...

Employers value the transferable skill sets our degrees contain and this is reflected in both salary levels and the demand for our chemical engineers who can excel in critical problem solving and ...