The aim of this course is to provide an introduction to modern methods for studying nonlinear partial differential equations. The content of the course, which can change from time to time, is built ...

The aim of this course is to provide an introduction to modern methods for studying nonlinear partial differential equations. The content of the course, which can change from time to time, is built ...

The HGF is a recent derivation of one-step update equations from Bayesian principles that rests on a hierarchical generative ... choice of decision model affects which HGF parameters can be estimated.

In order to reduce the computational burden of GD for the optimization process (7), we propose a modification of this algorithm which includes the aforementioned RBM for the numerical simulation of ...

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...

Solver for coupled nonlinear partial differential equations (elliptic-parabolic conservation laws) based on the Voronoi finite volume method. It uses automatic differentiation via ForwardDiff.jl and ...

With RIT’s electrical engineering BS, you’ll integrate science, tech, math, and hands-on skills into advanced electronics, robotics, and smart energy systems. Strong Career Paths: Companies hiring our ...

STEM-OPT Visa Eligible: The STEM Optional Practical Training (OPT) program allows full-time, on-campus international students on an F-1 student visa to stay and work in the U.S. for up to three years ...