An extended collection of matrix derivative results for forward and reverse mode automatic differentiation
This paper collects together a number of matrix derivative results which are very useful in forward and reverse mode algorithmic differentiation (AD). It highlights in particular the remarkable contribution of a 1948 paper by Dwyer and Macphail which derives the linear and adjoint sensitivities of a...
1. autor: | Giles, M |
---|---|
Format: | Report |
Wydane: |
Unspecified
2008
|
Podobne zapisy
-
Collected matrix derivative results for forward and reverse mode algorithmic differentiation
od: Giles, M
Wydane: (2008) -
Reverse-Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme
od: Moses, William S., i wsp.
Wydane: (2022) -
Some Results on the Extended Hypergeometric Matrix Functions and Related Functions
od: Mohamed Abdalla, i wsp.
Wydane: (2021-01-01) -
Using Automatic Differentiation for Adjoint CFD Code Development
od: Giles, M, i wsp.
Wydane: (2005) -
Pushing forward matrix factorisations
od: Dyckerhoff, T, i wsp.
Wydane: (2011)