License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.4.9.1
URN: urn:nbn:de:0030-drops-48817
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/4881/
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Gauger, Nicolas R. ; Giles, Michael ; Gunzburger, Max ; Naumann, Uwe
Weitere Beteiligte (Hrsg. etc.): Nicolas R. Gauger and Michael Giles and Max Gunzburger and Uwe Naumann

Adjoint Methods in Computational Science, Engineering, and Finance (Dagstuhl Seminar 14371)

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dagrep_v004_i009_p001_s14371.pdf (1 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 14371 "Adjoint Methods in Computational Science, Engineering, and Finance".

The development of adjoint numerical methods yields a large number of theoretical, algorithmic, and practical (implementation) challenges most of them to be addressed by state of the art Computer Science and Applied Mathematics methodology including parallel high-performance computing, domain-specific program analysis and compiler construction, combinatorial scientific computing, numerical linear algebra / analysis, and functional analysis. One aim of this seminar was to tackle these challenges by setting the stage for accelerated development and deployment of such methods based on in-depth discussions between computer scientists, mathematicians, and practitioners from various (potential) application areas. The number of relevant issues is vast, thus asking for a series of meetings of this type to be initiated by this seminar. It focused on fundamental theoretical issues arising in the context of "continuous vs. discrete adjoints." The relevant context was provided by presentations of various (potential) applications of adjoint methods in CSEF.

BibTeX - Entry

@Article{gauger_et_al:DR:2015:4881,
  author =	{Nicolas R. Gauger and Michael Giles and Max Gunzburger and Uwe Naumann},
  title =	{{Adjoint Methods in Computational Science, Engineering, and Finance (Dagstuhl Seminar 14371)}},
  pages =	{1--29},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{4},
  number =	{9},
  editor =	{Nicolas R. Gauger and Michael Giles and Max Gunzburger and Uwe Naumann},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/4881},
  URN =		{urn:nbn:de:0030-drops-48817},
  doi =		{10.4230/DagRep.4.9.1},
  annote =	{Keywords: continuous adjoints, discrete adjoints, high-performance scientific computing,algorithmic differentiation}
}

Keywords: continuous adjoints, discrete adjoints, high-performance scientific computing,algorithmic differentiation
Collection: Dagstuhl Reports, Volume 4, Issue 9
Issue Date: 2015
Date of publication: 08.01.2015

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