Neural Ordinary Differential Equations (NODEs) revolutionize the way we view residual networks as solvers for initial value problems (IVPs), with layer depth serving as the time step. In this study, ...

Deadlock detection for concurrent systems via static analysis is in general difficult because of state-space explosion; indeed it is PSPACE compete. This paper presents a new method to detect the ...

In chemical reaction network theory, ordinary differential equations are used to model the temporal change of chemical species concentration. As the functional form of these ordinary differential ...

The advantage of such systems is that because they use EM waves, computing can take place literally at light speeds within the processors. Systems of this type have previously been used to solve ...

This repository contains a Python implementation for solving ordinary differential equations (ODEs) using various numerical methods, including the Euler method, Heun's method, the Midpoint method, and ...

Truncated conical shells are essential in industries such as aerospace and marine engineering, where understanding their dynamic behavior is crucial. Traditional research has primarily focused on ...

Ordinary Differential Equations by L. S. Pontryagin. Publication date 1962 Topics mathematics, differential equations, first order differential equations, integration methods, linear equations with ...