In:
PAMM, Wiley, Vol. 7, No. 1 ( 2007-12), p. 1140205-1140206
Abstract:
Automatic differentiation (AD) is a method for computing derivatives of outputs of numerical programs with respect to its inputs both accurately (with machine precision) and efficiently. The two basic modes of AD – forward and reverse – and combinations thereof yield products of a vector with the Jacobian, its transposed, or the Hessian, respectively. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Type of Medium:
Online Resource
ISSN:
1617-7061
,
1617-7061
DOI:
10.1002/pamm.200700844
Language:
English
Publisher:
Wiley
Publication Date:
2007
detail.hit.zdb_id:
2078931-2