Abstract Notwithstanding the superiority of the Leibniz notation for differential calculus, the dot-and-bar notation predominantly used by the Automatic Differenti-ation community is resolutely Newtonian. In this paper we extend the Leibnitz no-tation to include the reverse (or adjoint) mode of Automatic Differentiation, and use it to demonstrate the stepwise numerical equivalence of the three approaches using the reverse mode to obtain second order derivatives, namely forward-over-reverse, reverse-over-forward, and reverse-over-reverse
Abstract. Forward and reverse modes of algorithmic differentiation (AD) trans-form implementations o...
This thesis is an exposition of the article Arithmetic of Differentiation by L.B Rall. It gives a ...
This article describes approaches to computing second-order derivatives with automatic differentiati...
Notwithstanding the superiority of the Leibniz notation for differential calculus, the dot-and-bar n...
This article provides an overview of some of the mathematical prin- ciples of Automatic Differentia...
We study the high order reverse mode of Automatic Differentiation (AD) in the dissertation. Automati...
In this paper, we give a simple and efficient implementation of reverse-mode automatic differentiati...
Automatic differentiation --- the mechanical transformation of numeric computer programs to calculat...
Automatic differentiation—the mechanical transformation of numeric computer programs to calculate de...
Automatic differentiation (AD) is conventionally understood as a family of distinct algorithms, root...
It is commonly assumed that calculating third order information is too expensive for most applicatio...
This paper collects together a number of matrix derivative results which are very useful in forward ...
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evalua...
This article provides a short overview of the theory of First Order Automatic Differentiation (AD) f...
Several software systems are available for implementing automatic differentiation of computer progra...
Abstract. Forward and reverse modes of algorithmic differentiation (AD) trans-form implementations o...
This thesis is an exposition of the article Arithmetic of Differentiation by L.B Rall. It gives a ...
This article describes approaches to computing second-order derivatives with automatic differentiati...
Notwithstanding the superiority of the Leibniz notation for differential calculus, the dot-and-bar n...
This article provides an overview of some of the mathematical prin- ciples of Automatic Differentia...
We study the high order reverse mode of Automatic Differentiation (AD) in the dissertation. Automati...
In this paper, we give a simple and efficient implementation of reverse-mode automatic differentiati...
Automatic differentiation --- the mechanical transformation of numeric computer programs to calculat...
Automatic differentiation—the mechanical transformation of numeric computer programs to calculate de...
Automatic differentiation (AD) is conventionally understood as a family of distinct algorithms, root...
It is commonly assumed that calculating third order information is too expensive for most applicatio...
This paper collects together a number of matrix derivative results which are very useful in forward ...
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evalua...
This article provides a short overview of the theory of First Order Automatic Differentiation (AD) f...
Several software systems are available for implementing automatic differentiation of computer progra...
Abstract. Forward and reverse modes of algorithmic differentiation (AD) trans-form implementations o...
This thesis is an exposition of the article Arithmetic of Differentiation by L.B Rall. It gives a ...
This article describes approaches to computing second-order derivatives with automatic differentiati...