This article is sponsored by Atalys. In this Voices interview, Medical Design & Outsourcing spoke with Dr. David Crispino, ...

This course provides an introduction to topics involving ordinary differential equations. Emphasis is placed on the development of abstract concepts and applications for first-order and linear ...

This repository provides some basic examples of using deep neural networks and feed-forward and LSTM-like neural networks to solve ordinary differential equations (ODEs), partial differential ...

Abstracts For homogeneous linear first-order differential equations, it is shown that Picard’s method of successive approximations is effective to furnish a closed-form solution even if the ...

Ordinary differential equations (ODEs) are a fundamental tool for modeling dynamical systems in various scientific fields. However, solving ODEs analytically can be challenging, and numerical methods ...

New results for the upper bounds of the distance between adjacent zeros of first-order differential equations with several variable delays Emad R. Attia and Bassant M. El-Matary 16 August 2023 | ...

Keywords Finite Element Method, First-Order Differential Equations, Fractional Powers of Operators Share and Cite: Schmidt, A. , Beyer, H. , Hinze, M. and Vandoros, E. (2020) Finite Element Approach ...

Unlike solutions of first-order linear equations, solutions of Riccati equations can blow up in finite time. However, these solutions become defined for all time if we let y y take values in the ...