Forward-Mode Automatic Differentiation in Julia

We present ForwardDiff, a Julia package for forward-mode automatic differentiation (AD) featuring performance competitive with low-level languages like C++. Unlike recently developed AD tools in other popular high-level languages such as Python and MATLAB, ForwardDiff takes advantage of just-in-time...

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Bibliographische Detailangaben

Hauptverfasser:	Revels, Jarrett, Lubin, Miles, Papamarkou, Theodore
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Mathematical Software
Online-Zugang:	Volltext bestellen
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