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reverse-mode automatic differentiation

Author: Peter Foelsche | Date: December 2024 | Location: Austin, TX, USA | Email: peter_foelsche@outlook.com

Introduction

A project publishing a class system for reverse-mode automatic differentiation. RMAD is supposed to be better suited for certain problems than forward-mode automatic differentation. Especially if the number of inputs is large. See also a class system for forward-mode automatic differentiation