New methods can help study the phenomenon of turbulence

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
marktechpost

A Coding Guide to Implement Advanced Differential Equation Solvers, Stochastic Simulations, and Neural Ordinary Differential Equations Using Diffrax and JAX

In this tutorial, we explore how to solve differential equations and build neural differential equation models using the Diffrax library. We begin by setting up a clean computational environment and ...
IEEE

Simulation of Modern Distribution Systems Using Matlab and OpenDSS

Abstract: The aim of this paper is to present a simulation of distribution systems adding solar PV generation using Matlab and OpenDSS. A chronological Monte Carlo simulation was developed to ...
IEEE

No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE

Abstract: Interactions with either environments or expert policies during training are needed for most of the current imitation learning (IL) algorithms. For IL problems with no interactions, a ...
GitHub

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation

This code is based on Fairseq v0.6.2. Note that the summarization task requires a newer version, e.g. Fairseq v0.10.2, we will release this code soon. python3 -u ...
University of Houston

Fall 2026

Math 5310-01 16344 History of Mathematics Asynchronous/On-campus Exams; Online G. Heier Math 5331-01 17095 Linear Algebra w/ Applications Asynchronous/On-campus Exams; Online A. Quaini Math 5333-01 ...