Publication: Using automatic differentiation for the solution of the minimum p-norm estimation problem in magnetoencephalography
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Using automatic differentiation for the solution of the minimum p-norm estimation problem in magnetoencephalography

- Technical report -
 

Area
Biomedicine

Author(s)
H. M. Bücker , R. Beucker

Institution
RWTH, Institute for Scientific Computing

Year
2002

Abstract
The study uses TAF generated derivatives of a function arising in tomography of the human brain. The adjoint code takes about 3 times as long as the function code.

AD Tools
TAF

AD Theory and Techniques
Adjoint

BibTeX
@TECHREPORT{
         Bucker2002Uad,
       author = "H. M. B{\"u}cker and R. Beucker",
       title = "Using automatic differentiation for the solution of the minimum p-norm estimation
         problem in magnetoencephalography",
       institution = "RWTH, Institute for Scientific Computing",
       address = "Aachen, Germany",
       type = "Preprint",
       number = "RWTH-CS-SC-02-11",
       year = "2002",
       abstract = "The study uses TAF generated derivatives of a function arising in tomography of the
         human brain. The adjoint code takes about 3 times as long as the function code. ",
       ad_tools = "TAF",
       url = "http://www.sc.rwth-aachen.de/Publications/Pubs/02-11.html",
       ad_area = "Biomedicine",
       ad_theotech = "Adjoint"
}


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