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

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

This monograph offers a comprehensive exposition of the theory surrounding time-fractional partial differential equations, featuring recent advancements in fundamental techniques and results. The ...

This chapter contains sections titled: Introduction Differential Equations for a Uniform Line with AC Excitation Transmission-line Equations for a Uniform Line with General Excitation Characteristic ...

We will present stochastic dynamical models via stochastic differential equations and study existence and uniqueness of solutions, linear stochastic differential equations, theory for diffusion ...

Convolutional neural networks (CNNs) for powerful visual image analysis are gaining popularity in artificial intelligence. The main difference in CNNs compared to other artificial neural networks is ...

Elements of the differential and integral calculus by Granville, William Anthony, 1863-1943; Smith, Percey F. (Percey Franklyn), 1867-1956 Publication date 1911 Topics Calculus Publisher Boston ; New ...