Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

In particular, we incorporate a stochastic noise term in the original equation, and systematically characterize the uncertainty. The model is a stochastic differential equation with mean reverting ...

In this paper, we study the partial differential equation (PDE) model of neural networks, viewing the neural network as a functional operating on a base model provided by the last layer of the ...

A high-density rain gauge observational network in Taiwan reveals that multiple precipitation peaks exist over the ...

Is Calculus Used in the Stock Market? Yes, it plays a vital role in predicting price changes, optimizing portfolios, and ...

The course gives an introduction to analytical techniques for partial differential equations, in particular to separation of variables. In addition the course treats qualititative properties of ...

This study proposes an adaptive differential evolution algorithm ... The primary purpose of building the battery model is to obtain the mathematical relationship between the internal parameters of the ...

Looking ahead, I hope to contribute to shaping the next generation of mathemati- cians and scientists addressing some of ...

Bangladesh has a denser population in comparison with many other countries. Though the rate of population increase has been ...

Feb. 4, visiting professor Derek A.T. Cummings at the Department of Epidemiology at the Bloomberg School of Public Health ...