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The Efficient Computation of Sparse Jacobian Matrices Using Automatic Differentiation

dc.contributor.authorColeman, Thomas F.en_US
dc.contributor.authorVerma, Arunen_US
dc.date.accessioned2007-04-04T16:14:21Z
dc.date.available2007-04-04T16:14:21Z
dc.date.issued1995-12en_US
dc.description.abstractThis paper is concerned with the efficient computation of sparse Jacobian matrices of nonlinear vector maps using automatic differentiation (AD). Specifically, we propose the use of a graph coloring technique, bi-coloring, to exploit the sparsity of the Jacobian matrix J and thereby allow for the efficient determination of J using AD software. We analyze both a direct scheme and a substitution process. We discuss the results of numerical experiments indicating significant practical potential of this approach.en_US
dc.format.extent376377 bytes
dc.format.extent441930 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.tc/95-225en_US
dc.identifier.urihttps://hdl.handle.net/1813/5560
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjecttheory centeren_US
dc.subjectsparse Jacobian matricesen_US
dc.subjectnonlinear systems of equationsen_US
dc.subjectnonlinear least squaresen_US
dc.subjectgraph coloringen_US
dc.subjectbi-coloringen_US
dc.subjectautomatic differentiationen_US
dc.subjectcomputational differentiationen_US
dc.subjectsparse finite differencingen_US
dc.subjectpartition problemen_US
dc.subjectNP-complete problemsen_US
dc.subjectADOL-Cen_US
dc.titleThe Efficient Computation of Sparse Jacobian Matrices Using Automatic Differentiationen_US
dc.typetechnical reporten_US

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