English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

En este trabajo se presenta una propuesta para realizar Diferenciaci\'onAutom\'atica Anidada utilizando cualquier biblioteca de Diferenciaci\'onAutom\'atica que permita sobrecarga de operadores. Para calcular las derivadasanidadas en una misma evaluaci\'on de la funci\'on, la cual se asume que seaanal\'itica, se trabaja con el modo forward utilizando una nueva estructurallamada SuperAdouble, que garantiza que se aplique correctamente laDiferenciaci\'on Autom\'atica y se calculen el valor y la derivada que serequiera.  This paper proposes a framework to apply Nested Automatic Differentiationusing any library of Automatic Differentiation which allows operatoroverloading. To compute nested derivatives of a function while it is beingevaluated, which is assumed to be analytic, a new structure called SuperAdoubleis used in the forward mode. This new class guarantees the correct applicationof Automatic Differentiation to calculate the value and derivative of afunction where is required.

Una metodolog\'ia para realizar Diferenciaci\'on Autom\'atica Anidada