Lyons, Andrew ;
Safro, Ilya
Randomized Heuristics for Exploiting Jacobian Scarcity
Abstract
Griewank and Vogel introduced the notion of Jacobian scarcity, which
generalizes the properties of sparsity and rank to capture a kind of
deficiency in the degrees of freedom of the Jacobian matrix $F'(mathbf{x}).$
We describe new randomized heuristics that exploit scarcity for the
optimized evaluation of collections of Jacobian-vector or
Jacobian-transpose-vector products.
BibTeX - Entry
@InProceedings{lyons_et_al:DSP:2009:2086,
author = {Andrew Lyons and Ilya Safro},
title = {Randomized Heuristics for Exploiting Jacobian Scarcity},
booktitle = {Combinatorial Scientific Computing},
year = {2009},
editor = {Uwe Naumann and Olaf Schenk and Horst D. Simon and Sivan Toledo},
number = {09061},
series = {Dagstuhl Seminar Proceedings},
ISSN = {1862-4405},
publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2009/2086},
annote = {Keywords: Jacobian, scarcity, accumulation, directed acyclic graph}
}
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Keywords: |
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Jacobian, scarcity, accumulation, directed acyclic graph |
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Seminar: |
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09061 - Combinatorial Scientific Computing
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Issue date: |
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2009 |
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Date of publication: |
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24.07.2009 |