In this paper, we give a simple and efficient implementation of reverse-mode automatic differentiation, which both extends easily to higher-order functions, and has run time and memory consumption linear in the run time of the original program. In addition to a formal description of the translation, we also describe an implementation of this algorithm, and prove its correctness by means of a logical relations argument.</jats:p
International audienceWe study the correctness of automatic differentiation (AD) in the context of a...
The fast computation of gradients in reverse mode Automatic Differentiation (AD) requires the genera...
summary:Automatic differentiation is an effective method for evaluating derivatives of function, whi...
We study the high order reverse mode of Automatic Differentiation (AD) in the dissertation. Automati...
Automatic differentiation --- the mechanical transformation of numeric computer programs to calculat...
This article provides an overview of some of the mathematical prin- ciples of Automatic Differentia...
We present semantic correctness proofs of automatic differentiation (AD). We consider a forward-mode...
In comparison to symbolic differentiation and numerical differencing, the chain rule based technique...
We present semantic correctness proofs of automatic differentiation (AD). Weconsider a forward-mode ...
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evalua...
Several software systems are available for implementing automatic differentiation of computer progra...
In its basic form the reverse mode of automatic differentiation yields gradient vectors at a small m...
Where dual-numbers forward-mode automatic differentiation (AD) pairs each scalar value with its tang...
Automatic differentiation—the mechanical transformation of numeric computer programs to calculate de...
This article describes approaches to computing second-order derivatives with automatic differentiati...
International audienceWe study the correctness of automatic differentiation (AD) in the context of a...
The fast computation of gradients in reverse mode Automatic Differentiation (AD) requires the genera...
summary:Automatic differentiation is an effective method for evaluating derivatives of function, whi...
We study the high order reverse mode of Automatic Differentiation (AD) in the dissertation. Automati...
Automatic differentiation --- the mechanical transformation of numeric computer programs to calculat...
This article provides an overview of some of the mathematical prin- ciples of Automatic Differentia...
We present semantic correctness proofs of automatic differentiation (AD). We consider a forward-mode...
In comparison to symbolic differentiation and numerical differencing, the chain rule based technique...
We present semantic correctness proofs of automatic differentiation (AD). Weconsider a forward-mode ...
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evalua...
Several software systems are available for implementing automatic differentiation of computer progra...
In its basic form the reverse mode of automatic differentiation yields gradient vectors at a small m...
Where dual-numbers forward-mode automatic differentiation (AD) pairs each scalar value with its tang...
Automatic differentiation—the mechanical transformation of numeric computer programs to calculate de...
This article describes approaches to computing second-order derivatives with automatic differentiati...
International audienceWe study the correctness of automatic differentiation (AD) in the context of a...
The fast computation of gradients in reverse mode Automatic Differentiation (AD) requires the genera...
summary:Automatic differentiation is an effective method for evaluating derivatives of function, whi...