This repo contains a set of tutorials to learn how to solve partial differential equations (PDEs) in Julia with the Gridap ecosystem of packages. At the root of this ecosystem is the Gridap.jl library ...

Abstract: This article establishes an approach, based on distributed optimization, for solving continuous-time Lyapunov equations (CTLE) over multiagent networks. Each agent in the network knows ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Abstract: Coupled linear delay time-varying differential-difference equations are considered. Explicit criteria for exponential stability of such equations are presented. The obtained results are used ...

Euny Hong is the former supervising editor at Investopedia.com. She is also the author of two critically-acclaimed, published books. Dr. JeFreda R. Brown is a financial consultant, Certified Financial ...

The information presented here is intended to describe the course goals for current and prospective students as well as others who are interested in our courses. It is not intended to replace the ...

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...

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