An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...

Abstract: 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 ...

'Differential equations' describe how one quantity changes in response to a change in another. Many important examples concern how quantities change, or evolve, with time. Such differential equations ...

This research was supported in part by the U.S. Air Force through the Air Force Office of Scientific Research, Office of Aerospace Research, under contract AF 49(638)-1242, in part by the National ...

Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...

UB Mathematics students can now download the pdf textbook for MTH 306, using the link on GitHub. Physical copies of the new edition are available from Amazon.

PDF files have become ubiquitous in our multi-platform world. This convenient file format makes it possible to view and share documents across various devices using various operating systems and ...

An Integrated, Prosperous and Peaceful Africa, driven by its own citizens and representing a dynamic force in the global arena.