AAD: breaking the primal barrier

Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/26588

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DC Field	Value	Language
dc.contributor.author	Goloubentsev, Dmitri	pt_PT
dc.contributor.author	Lakshtanov, Evgeny	pt_PT
dc.date.accessioned	2019-09-19T17:05:33Z	-
dc.date.issued	2019-09-18	-
dc.identifier.issn	1540-6962	pt_PT
dc.identifier.uri	http://hdl.handle.net/10773/26588	-
dc.description.abstract	In this article we present a new approach for automatic adjoint differentiation (AAD) with a special focus on computations where derivatives ∂F(X) ∂X are required for multiple instances of vectors X. In practice, the presented approach is able to calculate all the differentials faster than the primal (original) C++ program for F.	pt_PT
dc.language.iso	eng	pt_PT
dc.publisher	Wiley	pt_PT
dc.relation	UID/MAT/0416/2019	pt_PT
dc.rights	openAccess	pt_PT
dc.subject	AAD	pt_PT
dc.subject	Automatic adjoint differentiation	pt_PT
dc.subject	Automatic differentiation	pt_PT
dc.subject	C++	pt_PT
dc.subject	Code transformation	pt_PT
dc.subject	Operator overloading	pt_PT
dc.title	AAD: breaking the primal barrier	pt_PT
dc.type	article	pt_PT
dc.description.version	published	pt_PT
dc.peerreviewed	yes	pt_PT
degois.publication.firstPage	8	pt_PT
degois.publication.issue	103	pt_PT
degois.publication.lastPage	11	pt_PT
degois.publication.title	Wilmott	pt_PT
degois.publication.volume	2019	pt_PT
dc.date.embargo	2020-09-01	-
dc.identifier.essn	1541-8286	pt_PT
Appears in Collections:	CIDMA - Artigos OGTCG - Artigos

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