Learn how to solve differential equations using Euler and Runge-Kutta 4 methods! This tutorial compares both techniques, explaining accuracy, step size, and practical applications for physics and ...

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 ...

An intensive summer school for predoctoral students to develop mathematical intuitions and skills necessary to enter the fields of theoretical neuroscience and foundational machine learning. The ...

Learn how to solve the Millikan oil drop problem step by step and understand how it reveals the elementary charge. This video breaks down the forces, equations, and reasoning clearly for students ...

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 ...

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 ...

This repository is an home-made project to implement finite element method applied to heat equation. The pdf file summarize the mathematical aspect behind technical implementation. For now, only ...

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