Automatic Differentiation of Algorithms: Theory, Implementation, and Application (Andreas Griewank and George F. Corliss, eds.)

Previous article Next article Automatic Differentiation of Algorithms: Theory, Implementation, and Application (Andreas Griewank and George F. Corliss, eds.)Richard J. FatemanRichard J. Fatemanhttps://doi.org/10.1137/1035156PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout"Automatic Differentiation of Algorithms: Theory, Implementation, and Application (Andreas Griewank and George F. Corliss, eds.)." SIAM Review, 35(4), pp. 659–660 Previous article Next article FiguresRelatedReferencesCited byDetails Adjoint-Based Sensitivity Analysis in High-Temperature Fluid Flows with Paticipating Media9 June 2022 Cross Ref Volume 35, Issue 4| 1993SIAM Review History Published online:12 July 2006 InformationCopyright © 1993 Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1035156Article page range:pp. 659-660ISSN (print):0036-1445ISSN (online):1095-7200Publisher:Society for Industrial and Applied Mathematics